Large-span reticulated shell column deviation stress analysis method and system based on VR technology

Abstract

The invention relates to the technical field of intelligent engineering, in particular to a large-span reticulated shell column deviation stress analysis method and system based on the VR technology, and the method comprises the following steps: generating a large-span reticulated shell VR model through the rendering of a Unity 3D engine in a VR interaction system, and carrying out the visualization through VR head display equipment; identifying a column deviation high-risk area in the large-span reticulated shell VR model through a risk positioning model loaded in a processor in the VR interaction system; and predicting structural stress data of the column deviation high-risk area through an interaction response prediction model loaded in a processor in the VR interaction system according to interaction behavior data received in the column deviation high-risk area through the VR handle. The large-span reticulated shell VR model is rendered through the VR interaction system, the deviation high-risk area is determined through the risk positioning model, analog simulation of the deviation adjustment process is achieved based on the interaction behavior data of the user through the interaction response prediction model, and the user experience is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of intelligent engineering, and particularly to a stress analysis method for the deviation of large-span reticulated shell columns based on VR technology. Background Art

[0002] The reticulated shell structure has good stress performance, high stiffness, small self-weight, and saves steel consumption, and is a better structural type suitable for the roofs of medium and large-span buildings. The overall structural stability and load-bearing capacity of the reticulated shell structure will decrease due to the occurrence of column deviation. Therefore, by performing stress analysis on the column deviation of the reticulated shell structure, the stability of the reticulated shell structure can be grasped.

[0003] When analyzing the stress of the reticulated shell structure in the prior art, finite element analysis is mostly used. The analysis process cannot be intuitively visualized, nor can the simulation of the deviation adjustment process be achieved, so it is impossible to intuitively perceive whether the deviation adjustment operation of the user is effective. Summary of the Invention

[0004] The purpose of the present invention is to provide a stress analysis method for the deviation of large-span reticulated shell columns based on VR technology to solve the technical problem that the analysis process in the prior art cannot be intuitively visualized.

[0005] To solve the above technical problems, the present invention specifically provides the following technical solutions: A stress analysis method for the deviation of large-span reticulated shell columns based on VR technology, comprising the following steps: Three-dimensionally scan the large-span reticulated shell structure by a laser scanner to obtain the geometric data of the reticulated shell structure, and compare the geometric data of the reticulated shell structure with the initial BIM model of the large-span reticulated shell structure to generate a corrected model of the large-span reticulated shell with initial defects; Render a VR model of the large-span reticulated shell according to the corrected model of the large-span reticulated shell by the Unity 3D engine in the VR interaction system, and visualize it through a VR headset device; Identify the high-risk area of column deviation in the VR model of the large-span reticulated shell through the risk positioning model loaded by the processor in the VR interaction system, and visually mark it on the VR model of the large-span reticulated shell through the VR headset device; Predict the structural stress data of the high-risk area of column deviation according to the interaction behavior data received by the VR handle in the high-risk area of column deviation through the interaction response prediction model loaded by the processor in the VR interaction system, and visually mark it on the VR model of the large-span reticulated shell through the VR headset device.

[0006] As a preferred solution of the present invention, the construction method of the risk positioning model includes: Collect historical construction data of multiple large-span lattice shell structures, extract structural materials, construction technology, environmental conditions, load conditions, foundation conditions from the historical construction data, and mark areas where the column deviation amplitude and direction on the large-span lattice shell structure exceed the risk threshold as high-risk areas for column deviation; The risk location model is obtained by training using a random forest algorithm with structural materials, construction technology, environmental conditions, load conditions, and foundation conditions as inputs and high-risk areas of column misalignment as outputs; The risk positioning model is: P high =RF({x1,x2,x3,x4,x5}); Where P high is the high-risk area for column misalignment, x1, x2, x3, x4, and x5 are structural materials, construction technology, environmental conditions, load conditions, and foundation conditions, respectively, and RF is the random forest algorithm.

[0007] As a preferred solution of the present invention, the method for constructing the interactive response prediction model includes: The stress of the long-span lattice shell structure is calculated by using the finite element analysis algorithm to extract the column displacement amplitude and direction on the long-span lattice shell structure based on historical construction data; The interactive response prediction model is obtained by using a CNN network with the column displacement amplitude and direction on the long-span lattice shell extracted from historical construction data as input and the stress of the long-span lattice shell structure as output for training; The interactive response prediction model is: ; In the formula, is the structural stress data, and D is the column displacement amplitude and direction.

[0008] As a preferred embodiment of the present invention, the finite element analysis method comprises: Constructing and solving column displacement on long-span lattice shell structure The nonlinear equilibrium equation , where is the residual force vector, is the external load vector, For the displacement the associated internal resistance vector; Column displacement for nonlinear equilibrium equations by incremental iterative solution The iterative solution formula is: , , where For the i The tangent stiffness matrix of the iteration , is the displacement increment for the i th iteration, is the residual force vector for the i th iteration, is the estimated displacement value for the i th iteration, is the estimated displacement value for the i ([[$th$]] + 1)th iteration, , is the geometric stiffness matrix, is the material stiffness matrix; The column deflection displacement obtained by solving the nonlinear equilibrium equation according to the incremental iteration solution method , using the Einstein summation convention to obtain the strain tensor of the long - span reticulated shell structure, including the normal strains as ([[$\varepsilon_{11}$]], , , ), and the shear strains as ([[$\gamma_{12}$]], , , ), where , , in the formula, , , are the three components of the normal strain, , , are respectively the three components of the shear strain, , , are respectively 's three components; According to Hooke's law in generalized form, converting the strain tensor to stress, the normal stresses are obtained as ([[$\sigma_{11}$]], , , ), and the shear stresses are ([[$\tau_{12}$]], , , ), where , , in the formula, , , are respectively the three components of the normal stress, , , are respectively the three components of the shear stress, E is the elastic modulus, is the Poisson's ratio.

[0009] As a preferred embodiment of the present invention, the column deflection amplitude and direction include the column deflection direction n and the deflection distance d; The coordinates of the long - span reticulated shell correction model , in the formula, It is the initial BIM modeling coordinates of the long-span reticulated shell structure.

[0010] As a preferred embodiment of the present invention, the interaction behavior data includes the load adjustment operation and the temporary support addition operation performed by the user through the VR handle.

[0011] As a preferred embodiment of the present invention, the method for predicting the structural stress data of the high-risk column deviation area based on the interaction behavior data received through the VR handle in the high-risk column deviation area includes: Feed back the load adjustment operation and the temporary support addition operation through the VR handle to the high-risk column deviation area of the long-span reticulated shell VR model, trigger the real-time adjustment of the column deviation in the high-risk column deviation area of the long-span reticulated shell VR model, and the amplitude and direction D of the column deviation after the real-time adjustment; Input the amplitude and direction D of the column deviation after the real-time adjustment into the interaction response prediction model to obtain the structural stress data of the current high-risk column deviation area 。

[0012] As a preferred embodiment of the present invention, the present invention provides a stress analysis system for the column deviation of a long-span reticulated shell based on VR technology, which is applied to a stress analysis method for the column deviation of a long-span reticulated shell based on VR technology. The system includes: A laser scanner for three-dimensional scanning of the long-span reticulated shell structure to obtain the geometric data of the reticulated shell structure; A model correction unit for comparing the geometric data of the reticulated shell structure with the initial BIM modeling of the long-span reticulated shell structure to generate a corrected model of the long-span reticulated shell with initial defects; A VR interaction system including a Unity 3D engine, a processor, a VR handle, and a VR headset; The Unity 3D engine is used to render a long-span reticulated shell VR model according to the corrected model of the long-span reticulated shell and visualize it through the VR headset device; The processor is loaded with a risk positioning model for identifying the high-risk column deviation area in the long-span reticulated shell VR model and visually marking it on the long-span reticulated shell VR model through the VR headset device; The processor is loaded with an interaction response prediction model for predicting the structural stress data of the high-risk column deviation area based on the interaction behavior data received through the VR handle in the high-risk column deviation area and visually marking it on the long-span reticulated shell VR model through the VR headset device.

[0013] As a preferred embodiment of the present invention, the risk positioning model is: P high =RF({x1,x2,x3,x4,x5}); Wherein, P high is the high-risk area of column deviation. x1, x2, x3, x4, x5 are structural materials, construction technology, environmental conditions, load conditions, and foundation conditions respectively. RF is the random forest algorithm.

[0014] As a preferred embodiment of the present invention, the interactive response prediction model is: ; Wherein, is the structural stress data, and D is the amplitude and direction of column deviation.

[0015] The present invention has the following beneficial effects compared with the prior art: The present invention renders a large-span reticulated shell VR model through a VR interaction system, determines the high-risk area of deviation of the large-span reticulated shell structure by using a risk positioning model, and further predicts the structural stress data by using the interactive response prediction model based on the column deviation amplitude and direction adjustment conditions generated by the user's interaction behavior data, which can realize the simulation of the deviation adjustment process, so as to intuitively perceive whether the user's deviation adjustment operation is effective, achieve the intuitive visualization of force analysis, and improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the embodiments or the prior art. Obviously, the drawings in the following description are only exemplary, and for those of ordinary skill in the art, other implementation drawings can be obtained by extending the provided drawings without creative efforts.

[0017] Figure 1 is the flowchart of the force analysis method for column deviation of a large-span reticulated shell based on VR technology provided by the embodiment of the present invention; Figure 2 is the block diagram of the force analysis system for column deviation of a large-span reticulated shell based on VR technology provided by the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0018] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0019] As Figure 1 shown, the present invention provides a force analysis method for column deviation of a large-span reticulated shell based on VR technology, including the following steps: The geometric data of the long - span reticulated shell structure is obtained through three - dimensional scanning by a laser scanner, and the geometric data of the reticulated shell structure is compared with the initial BIM model of the long - span reticulated shell structure to generate a corrected model of the long - span reticulated shell with initial defects; The long - span reticulated shell VR model is rendered according to the corrected model of the long - span reticulated shell through the Unity 3D engine in the VR interaction system and visualized through a VR headset device; Through the risk location model loaded by the processor in the VR interaction system, the high - risk area of column deviation is identified in the long - span reticulated shell VR model and visually marked on the long - span reticulated shell VR model through a VR headset device (HTC Vive Pro, Meta Quest 3); Through the interaction response prediction model loaded by the processor in the VR interaction system, according to the interaction behavior data received by the VR handle in the high - risk area of column deviation, the structural stress data of the high - risk area of column deviation is predicted and visually marked on the long - span reticulated shell VR model through a VR headset device.

[0020] The present invention combines VR technology into the force analysis of column deviation on the long - span reticulated shell structure, can visualize the force analysis of column deviation on the long - span reticulated shell structure, and can display complex force data in a three - dimensional visual form, making the force analysis more intuitive and understandable.

[0021] The present invention pre - establishes a machine - learning model (risk location model) to characterize the mapping relationship between the structural materials, construction technology, environmental conditions (temperature and humidity), load conditions, and foundation conditions (settlement conditions) of the long - span reticulated shell structure and the high - risk area of column deviation. Thus, during the column deviation analysis process, the high - risk position of deviation can be quickly located, and its visualization is shown to the user. The deviation risk can be prompted in the virtual reality environment. This data visualization helps to improve the efficiency of analysis and design.

[0022] After the high-risk areas of column deviation are located, the present invention receives the interaction behavior data of the user in the high-risk areas. For example, the user adjusts the load conditions in the high-risk areas, that is, applies wind and rain loads, or adjusts the rain load to snow load, and the user strengthens the column deviation in the high-risk areas, that is, adds temporary supports. The change of load conditions and the addition of reinforcement supports (such as diagonal bars and circumferential cables) will cause changes in the amplitude direction of column deviation. Obtaining the force condition of the column deviation at this time can know the force condition of the reinforcement support under various load conditions, so that the user can judge the beneficial effect of the reinforcement support on the stability and load-bearing capacity of the large-span reticulated shell structure, that is, judge the correction effect of column deviation. Therefore, through VR technology, various force conditions can be simulated, and users can intuitively see the changes of the structure under different force conditions, so as to more accurately evaluate the stability and safety of the column deviation structure and provide an interactive immersive experience for users.

[0023] In order to ensure the timeliness of the interactive experience, the present invention pre-establishes another machine learning model (interaction response prediction model) to represent the mapping relationship between the structural stress data and the amplitude and direction of column deviation, so as to directly determine the structural stress data after the interaction behavior according to the amplitude and direction of column deviation generated by the interaction behavior, avoiding the long iterative algorithm process of finite element analysis (such as incremental iterative solution and automatically updating the finite element model after adding temporary supports), improving the efficiency of structural stress calculation, achieving rapid completion of force analysis after the interaction behavior occurs, and enhancing the interactive experience.

[0024] The data used to pre-establish the interaction response prediction model in the present invention is accumulated through finite element analysis, so that the VR system can use the interaction response prediction model for interaction behavior response, inherit the accurate performance of finite element analysis, obtain accurate structural stress analysis results, and at the same time generate the least time loss, which is a performance improvement compared to directly using finite element analysis for interaction response in the VR system.

[0025] The present invention pre-establishes a machine learning model (risk location model). During the column deviation analysis process, it quickly locates the high-risk positions of deviation and visualizes them for the user to show. The deviation risk can be prompted in the virtual reality environment. This data visualization helps to improve the efficiency of analysis and design, as follows: The construction method of the risk location model includes: Collect the historical construction data of multiple large-span reticulated shell structures, and extract the structural materials, construction techniques, environmental conditions, load conditions, foundation conditions from the historical construction data, and mark the areas where the amplitude and direction of column deviation on the large-span reticulated shell structure exceed the risk threshold as high-risk areas of column deviation; Using the random forest algorithm, with structural materials, construction technology, environmental conditions, load conditions, and foundation conditions as inputs, and the high-risk area of column deviation as the output, training is carried out to obtain a risk positioning model; The risk positioning model is: P high =RF({x1,x2,x3,x4,x5}); In the formula, P high is the high-risk area of column deviation, x1, x2, x3, x4, x5 are structural materials, construction technology, environmental conditions, load conditions, and foundation conditions respectively, and RF is the random forest algorithm.

[0026] The present invention establishes an interactive response prediction model. Directly based on the amplitude and direction of column deviation generated by the interactive behavior, the structural stress data after the interactive behavior is directly determined, avoiding the long iterative algorithm process of finite element analysis, improving the efficiency of structural stress calculation, achieving rapid completion of stress analysis after the interactive behavior occurs, and enhancing the interactive experience. Specifically as follows: The construction method of the interactive response prediction model includes: Using the finite element analysis algorithm, based on the amplitude and direction of column deviation on the long-span reticulated shell structure extracted from historical construction data, calculate the stress of the long-span reticulated shell structure; Using the CNN network, with the amplitude and direction of column deviation on the long-span reticulated shell extracted from historical construction data as the input and the stress of the long-span reticulated shell structure as the output, training is carried out to obtain an interactive response prediction model; The interactive response prediction model is: ; In the formula, is the structural stress data, and D is the amplitude and direction of column deviation.

[0027] In the present invention, the data used to pre-establish the interactive response prediction model is accumulated through finite element analysis. The finite element analysis method is: Construct a nonlinear equilibrium equation for solving the column deviation displacement on the long-span reticulated shell structure , where in the formula, is the residual force vector, is the external load vector, is the internal resistance vector related to the column deviation displacement ; Solve the column deviation displacement of the nonlinear equilibrium equation by the incremental iteration solution method. The iterative solution formula is: , , where in the formula, is the tangent stiffness matrix of the i th iteration , is the displacement increment for the i th iteration, is the residual force vector for the i th iteration, is the estimated displacement for the i th iteration, is the estimated displacement for the i +1 th iteration, , is the geometric stiffness matrix, is the material stiffness matrix; The column deflection displacement obtained by solving the nonlinear equilibrium equation according to the incremental iteration solution method , using the Einstein summation convention to obtain the strain tensor of the long - span reticulated shell structure, including the normal strains as ( , , ), and the shear strains ([[]] , , ), where, , , in the formula, , , are the three components of the normal strain, , , are respectively the three components of the shear strain, , , are respectively the three components of ; According to Hooke's law in the general form, convert the strain tensor to stress to obtain the normal stresses ([[]] , , ), and the shear stresses ([[]] , , ), where, , , in the formula, , , are respectively the three components of the normal stress, , , are respectively the three components of the shear stress, E is the elastic modulus, is the Poisson's ratio.

[0028] The column deflection amplitude and direction include the column deflection direction n and the deflection distance d; The coordinates of the modified model of the long - span reticulated shell , in the formula, It is the initial BIM modeling coordinates for the long - span reticulated shell structure.

[0029] The interaction behavior data includes the load adjustment operation by the user through the VR handle and the temporary support addition operation.

[0030] The method for predicting the structural stress data in the high - risk column deviation area according to the interaction behavior data received in the high - risk column deviation area through the VR handle includes: Feed back the load adjustment operation and the temporary support addition operation through the VR handle to the high - risk column deviation area of the long - span reticulated shell VR model, trigger the real - time adjustment of the column deviation in the high - risk column deviation area of the long - span reticulated shell VR model, and the amplitude and direction D of the column deviation after real - time adjustment; Input the amplitude and direction D of the column deviation after real - time adjustment into the interaction response prediction model to obtain the structural stress data of the current high - risk column deviation area 。

[0031] As Figure 2 shown, the present invention provides a stress analysis system for column deviation of long - span reticulated shells based on VR technology, which is applied to a stress analysis method for column deviation of long - span reticulated shells based on VR technology. The system includes: A laser scanner for three - dimensional scanning of the long - span reticulated shell structure to obtain reticulated shell structure geometric data; A model correction unit (any computer system capable of processing BIM models) for comparing the reticulated shell structure geometric data with the initial BIM modeling of the long - span reticulated shell structure to generate a corrected long - span reticulated shell model with initial defects; A VR interaction system, including a Unity 3D engine, a processor, a VR handle, and a VR headset; The Unity 3D engine is used to render a long - span reticulated shell VR model according to the corrected long - span reticulated shell model and visualize it through the VR headset device; The processor is loaded with a risk location model for identifying the high - risk column deviation area in the long - span reticulated shell VR model and visually marking it on the long - span reticulated shell VR model through the VR headset device; The processor is loaded with an interaction response prediction model for predicting the structural stress data in the high - risk column deviation area according to the interaction behavior data received in the high - risk column deviation area through the VR handle and visually marking it on the long - span reticulated shell VR model through the VR headset device.

[0032] The risk location model is: P high =RF({x1,x2,x3,x4,x5}); In the formula, P highIt is a high-risk area for column deviation. x1, x2, x3, x4, and x5 are structural materials, construction techniques, environmental conditions, load conditions, and foundation conditions respectively. RF is the random forest algorithm.

[0033] The interactive response prediction model is as follows: ; In the formula, is the structural stress data, and D is the amplitude and direction of column deviation.

[0034] The present invention renders a large-span reticulated shell VR model through a VR interaction system, determines the high-risk area of deviation of the large-span reticulated shell structure by using a risk positioning model, and further predicts the structural stress data by using the interactive response prediction model based on the column deviation amplitude and direction adjustment conditions generated by the user's interaction behavior data, can realize the simulation of the deviation adjustment process, so as to intuitively perceive whether the user's deviation adjustment operation is effective, achieve the intuitive visualization of force analysis, and improve the user experience.

[0035] The above embodiments are only exemplary embodiments of the present application and are not used to limit the present application. The protection scope of the present application is defined by the claims. Those skilled in the art can make various modifications or equivalent replacements within the essence and protection scope of the present application, and such modifications or equivalent replacements should also be regarded as falling within the protection scope of the present application.

Claims

1. A stress analysis method for the deviation of large-span reticulated shell columns based on VR technology, characterized in that It includes the following steps: Three-dimensionally scan the long-span reticulated shell structure by a laser scanner to obtain the geometric data of the reticulated shell structure, and compare the geometric data of the reticulated shell structure with the initial BIM model of the long-span reticulated shell structure to generate a corrected model of the long-span reticulated shell with initial defects; Render a VR model of the long-span reticulated shell according to the corrected model of the long-span reticulated shell through the Unity 3D engine in the VR interaction system, and visualize it through a VR headset device; Identify the high-risk area of column deviation in the VR model of the long-span reticulated shell through the risk location model loaded by the processor in the VR interaction system, and visually mark it on the VR model of the long-span reticulated shell through the VR headset device; According to the interaction behavior data received in the high-risk area of column deviation through the VR handle, predict the structural stress data of the high-risk area of column deviation through the interaction response prediction model loaded by the processor in the VR interaction system, and visually mark it on the VR model of the long-span reticulated shell through the VR headset device.

2. The stress analysis method for the deviation of large-span reticulated shell columns based on VR technology according to claim 1, characterized in that: The construction method of the risk location model includes: Collect the historical construction data of multiple long-span reticulated shell structures, and extract structural materials, construction techniques, environmental conditions, load conditions, foundation conditions from the historical construction data, and mark the areas where the column deviation amplitude and direction on the long-span reticulated shell structure exceed the risk threshold as high-risk areas of column deviation; Use the random forest algorithm with structural materials, construction techniques, environmental conditions, load conditions, foundation conditions as inputs and the high-risk area of column deviation as the output for training to obtain the risk location model; The risk location model is: P high = RF({x1, x2, x3, x4, x5}); Where, P high is the high-risk area of column deviation. x1, x2, x3, x4, x5 are structural materials, construction technology, environmental conditions, load conditions, and foundation conditions respectively. RF is the random forest algorithm.

3. The stress analysis method for the deviation of large-span reticulated shell columns based on VR technology according to claim 1, characterized in that: The construction method of the interaction response prediction model includes: Use the finite element analysis algorithm to calculate the stress of the long-span reticulated shell structure based on the column deviation amplitude and direction extracted from the historical construction data on the long-span reticulated shell structure; Use the CNN network with the column deviation amplitude and direction extracted from the historical construction data on the long-span reticulated shell as the input and the stress of the long-span reticulated shell structure as the output for training to obtain the interaction response prediction model; The interaction response prediction model is: ； In the formula, is the structural stress data, and D is the amplitude and direction of column deviation.

4. The stress analysis method for the deviation of large-span reticulated shell columns based on VR technology according to claim 3, characterized in that: The finite element analysis method includes: Constructing the solution for the column deviation displacement on the long-span reticulated shell structure of the nonlinear equilibrium equation , where is the residual force vector, is the external load vector, is the internal resistance vector related to the column deviation displacement ; Solve the column deviation displacement of the nonlinear equilibrium equation by the incremental iteration solution method The iterative solution formula is as follows: , , where is the tangent stiffness matrix of the i th iteration , is the displacement increment of the i th iteration, is the residual force vector of the i th iteration, is the displacement estimate of the i th iteration, is the displacement estimate of the i +1th iteration, , is the geometric stiffness matrix, is the material stiffness matrix; The column deflection displacement obtained by solving the non - linear equilibrium equation according to the incremental iteration solution method , the strain tensor of the long - span reticulated shell structure is obtained by using the Einstein summation convention, including the normal strains as ( , , ), and the shear strains as ( , , ). Among them, , . In the formula, , , are the three components of the normal strain, , , are the three components of the shear strain respectively, , , are the three components of respectively; According to the generalized Hooke's law, the strain tensor is converted into stress to obtain the normal stress ( , , ), shear stress ( , , ), where , , in the formula, , , are the three components of the normal stress respectively, , , are the three components of the shear stress respectively, E is the elastic modulus, is the Poisson's ratio.

5. The stress analysis method for the deviation of large-span reticulated shell columns based on VR technology according to claim 3, characterized in that: The column deviation amplitude and direction include the column deviation direction n and the deviation distance d; The coordinates of the modified model of the long-span reticulated shell , where are the initial BIM modeling coordinates of the long-span reticulated shell structure.

6. The stress analysis method for the deviation of long-span reticulated shell columns based on VR technology according to claim 1, characterized in that: The interaction behavior data includes the load adjustment operation and the temporary support addition operation performed by the user through the VR handle.

7. A method for force analysis of the deviation of large-span reticulated shell columns based on VR technology according to claim 3, characterized in that: The method for predicting the structural stress data of the high-risk area of column deviation according to the interaction behavior data received in the high-risk area of column deviation through the VR handle includes: Feed back the load adjustment operation and the temporary support addition operation through the VR handle to the high-risk area of column deviation of the VR model of the long-span reticulated shell, trigger the real-time adjustment of the column deviation of the high-risk area of column deviation of the VR model of the long-span reticulated shell, and the column deviation amplitude and direction D after the real-time adjustment; Input the amplitude and direction D of the column deviation after real-time adjustment into the interactive response prediction model to obtain the structural stress data of the current high-risk area of column deviation .

8. A stress analysis system for the deviation of large-span reticulated shell columns based on VR technology, characterized in that, Applied to the force analysis method for column deviation of a long-span reticulated shell based on VR technology according to any one of claims 1-7, the system includes: A laser scanner for three-dimensionally scanning the long-span reticulated shell structure to obtain the geometric data of the reticulated shell structure; A model correction unit for comparing the geometric data of the reticulated shell structure with the initial BIM modeling of the long-span reticulated shell structure to generate a corrected model of the long-span reticulated shell with initial defects; A VR interaction system, including a Unity 3D engine, a processor, VR handles, and a VR headset; The Unity 3D engine is used to render a VR model of the long-span reticulated shell according to the corrected model of the long-span reticulated shell and visualize it through the VR headset device; The processor is loaded with a risk positioning model for identifying high-risk areas of column deviation in the VR model of the long-span reticulated shell and visually marking them on the VR model of the long-span reticulated shell through the VR headset device; The processor is loaded with an interaction response prediction model for predicting the structural stress data of the high-risk areas of column deviation according to the interaction behavior data received through the VR handles in the high-risk areas of column deviation and visually marking them on the VR model of the long-span reticulated shell through the VR headset device.

9. The stress analysis system for the deviation of large-span reticulated shell columns based on VR technology according to claim 8, characterized in that: The risk positioning model is: P high = RF({x1, x2, x3, x4, x5}); Wherein, P high is a high-risk area for column deviation, x1, x2, x3, x4, and x5 are structural materials, construction technology, environmental conditions, load conditions, and foundation conditions respectively, and RF is the random forest algorithm.

10. The force analysis method system for the deviation of large-span reticulated shell columns based on VR technology according to claim 8, characterized in that: The interaction response prediction model is: ； In the formula, is the structural stress data, and D is the amplitude and direction of column deviation.

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