Construction hanging basket safety state prediction method and system combined with digital twin model

Abstract

This invention discloses a method and system for predicting the safety status of a construction formwork using a digital twin model. The method includes: extracting the component topology of the construction formwork; establishing a finite element simulation model of the construction formwork based on the component topology; and constructing a topological tension matrix for each node on the component. During construction, the geometric drift of each node on each component is acquired in real time. All geometric drifts of a node within a certain period are combined into a geometric drift vector. Based on the topological tension matrix, the geometric drift vector is mapped to an equivalent driving vector of the node, serving as an external excitation for the node. The displacement field of the node is calculated based on the equivalent driving vector. The axial stress of the component is calculated based on the displacement field. The state field of each node of the component is calculated based on the axial stress. The corresponding node is then judged to be unstable based on the state field.

Description

Technical Field

[0001] This invention belongs to the field of construction hanging basket safety monitoring technology, and more specifically, relates to a method and system for predicting the safety status of construction hanging baskets by combining a digital twin model. Background Technology

[0002] Currently, hanging basket systems are widely used in the construction of long-span bridges, continuous beams, and cantilever structures. Their safety and stability directly determine the reliability of the bridge superstructure during the construction phase. However, in existing technologies, the monitoring and safety assessment of hanging basket systems mainly rely on single-sensor data such as displacement, stress, and acceleration, and condition judgment is made through empirical thresholds or finite element static analysis. While these methods can obtain stress or displacement information at certain key points, they have the following main technical limitations: First, the locality problem of the structural sensing layer is prominent. Traditional monitoring systems typically deploy only a limited number of strain gauges or displacement gauges, failing to continuously capture the coupled responses between the overall components of the hanging basket. When local components experience fatigue, loosening, or a decrease in support stiffness, their effects often gradually propagate throughout the global stress distribution, and single-point monitoring cannot reflect this gradual change. As a result, the system may accumulate potential risks in a "surface stable" state, only to be detected when a sudden instability occurs.

[0003] Secondly, the static assumptions of the numerical analysis layer lead to insufficient predictive capabilities. Existing finite element analysis or numerical simulation methods are typically based on discrete input conditions during the construction phase (such as single-step tensioning or single-stage pouring), without considering the continuous evolution and feedback coupling of the formwork structure during construction. In reality, due to factors such as temperature changes, asymmetric loading, and temporary constraint adjustments, the true stiffness matrix of the formwork dynamically changes over time, causing the model to become disconnected from the actual structure and making continuous prediction impossible. The conclusions of the static model only represent a specific moment, not the trend of structural evolution.

[0004] Therefore, there is an urgent need for a technical solution that can shift from passive monitoring to proactive prediction, thereby improving the safety management accuracy and response speed of the hanging basket system during the construction phase of long-span bridges. Summary of the Invention

[0005] To address the above technical problems, this invention proposes a method for predicting the safety status of construction hanging baskets using a digital twin model, comprising: Extract the component topology of the construction hanging basket, establish a finite element simulation model of the construction hanging basket based on the component topology, and construct the topological tension matrix of each node on the component. During construction, the geometric drift of each node on each component is acquired in real time. All geometric drifts of a node within a certain period are combined into a geometric drift vector. Based on the topological tension matrix, the geometric drift vector is mapped to the equivalent driving vector of a node, which serves as the external excitation of the node. Calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

[0006] Furthermore, constructing the topological tension matrix of each node on the component includes: abstracting the topology of the construction hanging basket component into multiple nodes, wherein each end of each component is abstracted as a node; The topological tension matrix for each node on the component includes: , , in, These are the elements of the topological tension matrix excluding the diagonal elements. For the first component The node to the first The elastic modulus of each node, For the first component The node to the first Cross-sectional area of ​​each node For the first component The node to the first The geometric distance between nodes, These are the diagonal elements of the topological tension matrix; Elements of the topological tension matrix excluding the diagonal elements and the diagonal elements of the topological tension matrix Forming a topological tension matrix.

[0007] Furthermore, the geometric drift vector includes: , in, For time Time The geometric drift vector of each node. The number of samples within a certain period. This is the matrix transpose. Mapping a geometric drift vector to an equivalent driving vector for a node includes: , in, For time Time The equivalent driving vector of each node.

[0008] Furthermore, calculating the predicted displacement field of a node based on the equivalent driving vector includes: calculating the equilibrium displacement field of a node based on the equivalent driving vector, including: , in, For time Time The equilibrium displacement field of each node For time Time Displacement field of each node; Calculating the displacement field of a node includes: , in, For time Time Displacement field of each node, For time Time The equilibrium displacement field of each node is the damping factor.

[0009] Furthermore, the calculation of the axial stress of the component based on the displacement field includes: , in, For time From the first component The node to the first Axial stress of the component at each node, For time Time The displacement field of each node.

[0010] Furthermore, the state field of each node of the component is calculated based on the axial stress of the component, including: , in, For time Time The state field of each node For nodes A set of connected nodes. For the first component The node to the first The allowable axial stress of the component at each node.

[0011] Furthermore, determining whether a corresponding node is unstable based on the state field includes: Time Time The state field of each node is compared with the preset state field threshold. When time... Time When the state field of a node is greater than 0, the corresponding node is in a stable state; otherwise, the corresponding node is in an unstable state.

[0012] Furthermore, when time Time When the state field of each node is greater than 0 and greater than or equal to the safety threshold, the time... Time Each node belongs to the stable region when time... Time When the state field of each node is greater than 0 and less than the safety threshold, time will be... Time Each node belongs to a potential instability domain.

[0013] Furthermore, determining whether a corresponding node is unstable based on the state field includes: when The entire construction formwork is then in a potentially unstable state. For time The global convergence rate of the state field of all nodes at time. The convergence rate threshold, This represents the critical value of the state field; Calculation time Global convergence rate of all state fields at time include: , in, For time The sum of the state fields of all nodes at that time. For time The sum of the state fields of all nodes at that time. For time intervals.

[0014] This invention also proposes a construction hanging basket safety status prediction system combining a digital twin model, comprising: The simulation module is used to extract the component topology of the construction hanging basket, establish a finite element simulation model of the construction hanging basket based on the component topology, and construct the topological tension matrix of each node on the component. The simulated external excitation module is used to acquire the geometric drift of each node on each component in real time during construction. It forms a geometric drift vector by combining all the geometric drift of a node within a certain period, and maps the geometric drift vector to the equivalent driving vector of a node according to the topological tension matrix, which serves as the external excitation of the node. The safety assessment module is used to calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

[0015] In summary, the technical solutions conceived by this invention have the following beneficial effects compared with the prior art: Compared to traditional single-point monitoring or static stress analysis, this invention can synchronously evolve the stress situation of the hanging basket in a digital twin space, allowing the redistribution of tension within the structure to be continuously tracked. This enables the identification of instability before it occurs and the early identification of potential instability zones. This invention achieves a shift from passive monitoring to proactive prediction, significantly improving the safety management accuracy and response speed of the hanging basket system during the construction phase of long-span bridges. Attached Figure Description

[0016] Figure 1 This is a flowchart of the method in Embodiment 1 of the present invention; Figure 2 This is a system structure diagram of Embodiment 2 of the present invention; Figure 3 This is a schematic diagram of the hanging basket structure; Figure 4 and Figure 5 This is a schematic diagram of the hanging basket installation posture. Detailed Implementation

[0017] To better understand the above technical solutions, the following will provide a detailed explanation of the technical solutions in conjunction with the accompanying drawings and specific implementation methods.

[0018] The method provided by this invention can be implemented in a terminal environment that may include one or more of the following components: a processor, a storage medium, and a display screen. The storage medium stores at least one instruction, which is loaded and executed by the processor to implement the method described in the following embodiments.

[0019] A processor may include one or more processing cores. The processor uses various interfaces and lines to connect various parts of the terminal, and performs various functions and processes data by running or executing instructions, programs, code sets or instruction sets stored in the storage medium, and by calling data stored in the storage medium.

[0020] Storage media can include random access memory (RAM) or read-only memory (ROM). Storage media can be used to store instructions, programs, code, code sets, or instructions.

[0021] The display screen is used to show the user interface of each application.

[0022] about Figure 3 The functions of each unit are explained below: Front hanger force monitoring unit: As a key component connecting the upper structure of the hanging basket and the bottom basket system, the reliability of the front hanger is of paramount importance. The front hanger force monitoring unit can monitor and warn of the stress on the front hanger in real time to ensure the safety of the hanging basket construction.

[0023] Post-anchor bolt force monitoring unit: According to the specifications, the self-anchoring safety factor of the hanging basket must be greater than 2 times. The post-anchor bolt force monitoring unit can monitor the force on the anchor bolts in real time during the concrete pouring process, eliminating the risk of the hanging basket overturning due to uneven anchor bolt breakage.

[0024] Main Truss Deflection Monitoring Unit: According to the specifications, the deflection deformation at the front end of the main truss of the hanging basket should not exceed 2cm. The main attitude monitoring unit can monitor the attitude of the front end of the main truss in real time during the concrete pouring process, eliminating the risk of concrete cracking due to excessive deformation.

[0025] Synchronous movement monitoring unit: Monitors the synchronous movement of multiple main trusses to eliminate the risk of the hanging basket structure twisting and disintegrating due to asynchronous movement of the main frames, and ensures the safety of the hanging basket movement.

[0026] Meteorological Unit: The regulations require that hoisting and high-altitude operations should not be carried out when the wind is greater than level 6, and the hanging basket should not be moved. The on-site environmental wind speed is monitored and alarmed in real time through a high-precision wind speed monitoring device to ensure construction safety.

[0027] Main electrical box: Used for power supply.

[0028] Distance measuring unit: Real-time monitoring of the travel distance of the main truss on both sides of the beam segment to prevent the risk of beam segment overturning due to excessive deviation in travel distance.

[0029] about Figure 4 , Figure 5 The red device shown is the tilt sensor for the main truss deflection monitoring unit. This sensor is a core monitoring device in the cantilever construction of long-span bridges and is mainly suitable for the following scenarios: 1. Full-cycle monitoring of formwork construction: From the installation and positioning of the formwork, concrete pouring of beam segments, prestressing tensioning to the movement of the formwork, real-time monitoring of the deflection and deformation of the main truss ensures structural safety. 2. Early warning of critical stress conditions: During stages of drastic load changes, such as concrete pouring and formwork movement, precise detection of minute deformations of the main truss is achieved. An automatic alarm is triggered when the deflection exceeds a preset threshold to prevent structural instability. 3. Construction control of long-span bridges: Particularly suitable for the construction of long-span continuous rigid frame bridges and continuous beam bridges spanning rivers, canyons, and gorges, providing crucial data support for bridge alignment control. 4. Safety monitoring under severe weather conditions: Under severe weather conditions such as strong winds and high temperatures, the impact of temperature and wind force on the deflection of the main truss is monitored to assess the structure's safety reserves.

[0030] In addition, those skilled in the art will understand that the structure of the terminal described above does not constitute a limitation on the terminal. The terminal may include more or fewer components, or combine certain components, or have different component arrangements. For example, the terminal may also include radio frequency circuits, input units, sensors, audio circuits, power supplies, and other components, which will not be described in detail here.

[0031] Example 1 like Figure 1 As shown, this embodiment proposes a method for predicting the safety status of construction hanging baskets by combining a digital twin model (hanging basket posture installation as shown). Figure 4 and Figure 5 (as shown), including: Step 101, extract the construction formwork (formwork structure as follows) Figure 3 Based on the component topology (as shown), a finite element simulation model of the construction hanging basket is established, and the topological tension matrix of each node on the component is constructed. Specifically, constructing the topological tension matrix of each node on the component includes: abstracting the topology of the construction hanging basket component into multiple nodes, wherein each end of each component is abstracted as a node; Preferably, regarding the relationship between components and nodes: In a hanging basket structure: each member (or cable, beam element) connects to two endpoints: the starting point (or end 1): the node. End point (or end 2): Node These two nodes are the geometric endpoints of the component, corresponding to the connection positions of the component in the finite element model.

[0032] The topological tension matrix for each node on the component includes: , , in, Let be the elements of the topological tension matrix excluding the diagonal elements, representing the elements from the component at the . The node to the first The coupling stiffness of each node, For the first component The node to the first The elastic modulus of each node, For the first component The node to the first Cross-sectional area of ​​each node For the first component The node to the first The geometric distance between nodes, Let be the diagonal element of the topological tension matrix, representing the th The self-stiffness of each node; Elements of the topological tension matrix excluding the diagonal elements and the diagonal elements of the topological tension matrix Composition of topological tension matrix .

[0033] For example, after the initial installation of the hanging basket is completed, the system reads the structural design drawings of the hanging basket and, in conjunction with the on-site verification results, confirms the following components as the main load-bearing components: the main beam connecting the left and right ends of the front crossbeam; the crossbeam in the middle of the bottom basket; and the suspension rod connecting the front crossbeam and the bottom basket. The connection points at both ends of each of the above components are defined as a topological node. For example, the connection point at the left end of the front crossbeam is defined as node N1; the connection point in the middle of the bottom basket is defined as node N2; and the connection point at the right end of the front crossbeam is defined as node N3. Record the actual connection relationships between nodes and mark the corresponding component attributes, including component type, material category and installation length; A structural model with the same geometric dimensions as the on-site hanging basket is established in the digital twin space, and the tension coupling relationship between nodes is generated based on the connection relationship of the components; Based on the above coupling relationship, the system forms a topological tension relationship matrix for subsequent calculations, which serves as the basis for the mechanical response analysis of the hanging basket structure.

[0034] Step 102: During construction, the geometric drift of each node on each component is acquired in real time. All geometric drifts of a node within a certain period are combined into a geometric drift vector. Based on the topological tension matrix, the geometric drift vector is mapped to the equivalent driving vector of a node as an external excitation of the node. Specifically, the geometric drift vector includes: , in, For time Time The geometric drift vector of each node. The number of samples within a certain period. This is the matrix transpose. Mapping a geometric drift vector to an equivalent driving vector for a node includes: , in, For time Time The equivalent driving vector of each node.

[0035] For example, when the hanging basket is carrying out concrete pouring construction for a certain segment, the system deploys displacement monitoring devices at the actual positions corresponding to nodes N1, N2 and N3. After the concrete pouring begins, the system continuously collects spatial location data of each node at fixed time intervals. During a complete pouring cycle, the system found that the vertical displacement of node N2 showed a continuous increasing trend, while the displacement changes of nodes N1 and N3 were relatively gradual. The system integrates the multiple displacement change data collected by node N2 during the construction period to generate the geometric drift vector of node N2. Based on the topological tension relationship established in step 101, the system maps the geometric drift vector into an equivalent external driving force, which reflects the comprehensive mechanical impact of the geometric change of node N2 on the overall hanging basket structure. This equivalent external driving force serves as the input condition for subsequent structural response prediction.

[0036] Step 103: Calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

[0037] Specifically, calculating the predicted displacement field of a node based on the equivalent driving vector includes: calculating the equilibrium displacement field of a node based on the equivalent driving vector, including: , in, For time Time The equilibrium displacement field of each node For time Time Displacement field of each node; Preferred, for time Time Displacement field of each node Initialization: If the structure is considered to have no deviations before the installation of the construction formwork, then =0; if there is already an initial deviation, it can be filled in with the initial measurement.

[0038] Calculating the displacement field of a node includes: , in, For time Time Displacement field of each node, For time Time The equilibrium displacement field of each node It is the damping factor, belonging to (0,1).

[0039] Specifically, the calculation of axial stress in a component based on the displacement field includes: , in, For time From the first component The node to the first Axial stress of the component at each node, For time Time The displacement field of each node.

[0040] Specifically, the calculation of the state field of each node of the component based on the axial stress of the component includes: , in, For time Time The state field of each node For nodes A set of connected nodes. For the first component The node to the first The allowable axial stress of the component at each node.

[0041] Specifically, determining whether a node is unstable based on the state field includes: Time Time The state field of each node is compared with the preset state field threshold. When time... Time When the state field of a node is greater than 0, the corresponding node is in a stable state; otherwise, the corresponding node is in an unstable state.

[0042] Specifically, when time Time When the state field of a node is greater than 0 and greater than or equal to a safety threshold (e.g., a value between 0.2 and 0.5), the time... Time Each node belongs to the stable region when time... Time When the state field of each node is greater than 0 and less than the safety threshold, time will be... Time Each node belongs to a potential instability domain.

[0043] Specifically, determining whether a node is unstable based on the state field includes: when The entire construction formwork is then in a potentially unstable state. For time The global convergence rate of the state field of all nodes at time. The convergence rate threshold, This represents the critical value of the state field; Preferably, the critical value of the state field Represents the state field of a node The boundary between the recoverable elastic stage and the irreversible instability evolution stage, when the first The state field of each node Down to The following indicates that the mechanical coupling relationship of the node has been disrupted, and the structure has entered a state of local instability.

[0044] Calculation time Global convergence rate of all state fields at time include: , in, For time The sum of the state fields of all nodes at that time. For time The sum of the state fields of all nodes at that time. For time intervals.

[0045] For example, after obtaining the equivalent external driving force of node N2, the system enters the structural safety status assessment phase, which includes: The system first calculates the force balance trend of each node under the external driving action based on the current topological tension relationship, and obtains the equilibrium displacement field of each node; To reflect the gradual nature of structural response during actual construction, the system uses a step-by-step update method to correct the nodal displacement state, rather than providing the final result all at once. After obtaining the predicted displacement field of the node, the system performs a stress assessment on each component connecting node N2 and analyzes whether the stress change is close to the design allowable range. The system uses the maximum force ratio among the related components of node N2 as the basis for risk assessment of the node, and generates the state field value of node N2 accordingly. When the state field value of node N2 is lower than the preset safety threshold but still remains positive, the system marks node N2 as a potentially unstable node. The system pushes the judgment result to the construction monitoring terminal in real time to remind construction management personnel to pay special attention to the corresponding components of the node.

[0046] Through the above steps, the system can identify potential instability locations in advance before the hanging basket undergoes obvious abnormal deformation.

[0047] Example 2 like Figure 2 As shown, this embodiment proposes a construction hanging basket safety status prediction system combining a digital twin model, including: The simulation module is used to extract the component topology of the construction hanging basket, establish a finite element simulation model of the construction hanging basket based on the component topology, and construct the topological tension matrix of each node on the component. Specifically, constructing the topological tension matrix of each node on the component includes: abstracting the topology of the construction hanging basket component into multiple nodes, wherein each end of each component is abstracted as a node; Preferably, regarding the relationship between components and nodes: In a hanging basket structure: each member (or cable, beam element) connects to two endpoints: the starting point (or end 1): the node. End point (or end 2): Node These two nodes are the geometric endpoints of the component, corresponding to the connection positions of the component in the finite element model.

[0048] The topological tension matrix for each node on the component includes: , , in, Let be the elements of the topological tension matrix excluding the diagonal elements, representing the elements from the component at the . The node to the first The coupling stiffness of each node, For the first component The node to the first The elastic modulus of each node, For the first component The node to the first Cross-sectional area of ​​each node For the first component The node to the first The geometric distance between nodes, Let be the diagonal element of the topological tension matrix, representing the th The self-stiffness of each node; Elements of the topological tension matrix excluding the diagonal elements and the diagonal elements of the topological tension matrix Composition of topological tension matrix .

[0049] The simulated external excitation module is used to acquire the geometric drift of each node on each component in real time during construction. It forms a geometric drift vector by combining all the geometric drift of a node within a certain period, and maps the geometric drift vector to the equivalent driving vector of a node according to the topological tension matrix, which serves as the external excitation of the node. Specifically, the geometric drift vector includes: , in, For time Time The geometric drift vector of each node. The number of samples within a certain period. This is the matrix transpose. Mapping a geometric drift vector to an equivalent driving vector for a node includes: , in, For time Time The equivalent driving vector of each node.

[0050] The safety assessment module is used to calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

[0051] Specifically, calculating the predicted displacement field of a node based on the equivalent driving vector includes: calculating the equilibrium displacement field of a node based on the equivalent driving vector, including: , in, For time Time The equilibrium displacement field of each node For time Time Displacement field of each node; Preferred, for time Time Displacement field of each node Initialization: If the structure is considered to have no deviations before the installation of the construction formwork, then =0; if there is already an initial deviation, it can be filled in with the initial measurement.

[0052] Calculating the displacement field of a node includes: , in, For time Time Displacement field of each node, For time Time The equilibrium displacement field of each node It is the damping factor, belonging to (0,1).

[0053] Specifically, the calculation of axial stress in a component based on the displacement field includes: , in, For time From the first component The node to the first Axial stress of the component at each node, For time Time The displacement field of each node.

[0054] Specifically, the calculation of the state field of each node of the component based on the axial stress of the component includes: , in, For time Time The state field of each node For nodes A set of connected nodes. For the first component The node to the first The allowable axial stress of the component at each node.

[0055] Specifically, determining whether a node is unstable based on the state field includes: Time Time The state field of each node is compared with the preset state field threshold. When time... Time When the state field of a node is greater than 0, the corresponding node is in a stable state; otherwise, the corresponding node is in an unstable state.

[0056] Specifically, when time Time When the state field of a node is greater than 0 and greater than or equal to a safety threshold (e.g., a value between 0.2 and 0.5), the time... Time Each node belongs to the stable region when time... Time When the state field of each node is greater than 0 and less than the safety threshold, time will be... Time Each node belongs to a potential instability domain.

[0057] Specifically, determining whether a node is unstable based on the state field includes: when The entire construction formwork is then in a potentially unstable state. For time The global convergence rate of the state field of all nodes at time. The convergence rate threshold, This represents the critical value of the state field; Preferably, the critical value of the state field Represents the state field of a node The boundary between the recoverable elastic stage and the irreversible instability evolution stage, when the first The state field of each node Down to The following indicates that the mechanical coupling relationship of the node has been disrupted, and the structure has entered a state of local instability.

[0058] Calculation time Global convergence rate of all state fields at time include: , in, For time The sum of the state fields of all nodes at that time. For time The sum of the state fields of all nodes at that time. For time intervals.

[0059] Example 3 This invention also proposes a storage medium storing multiple instructions for implementing the aforementioned method for predicting the safety status of a construction hanging basket combined with a digital twin model.

[0060] Optionally, in this embodiment, the storage medium may be located in any computer terminal in a group of computer terminals in a computer network, or in any mobile terminal in a group of mobile terminals.

[0061] Optionally, in this embodiment, the storage medium is configured to store program code for performing the method steps of Embodiment 1.

[0062] Example 4 This invention also proposes an electronic device, including a processor and a storage medium connected to the processor. The storage medium stores multiple instructions, which can be loaded and executed by the processor to enable the processor to execute the construction hanging basket safety status prediction method combined with a digital twin model.

[0063] Specifically, the electronic device in this embodiment can be a computer terminal, which may include one or more processors and a storage medium.

[0064] The storage medium can be used to store software programs and modules, such as the construction formwork safety status prediction method combined with a digital twin model in this embodiment of the invention. The corresponding program instructions / modules are executed by the processor through running the software programs and modules stored in the storage medium, thereby performing various functional applications and data processing, thus realizing the aforementioned construction formwork safety status prediction method combined with a digital twin model. The storage medium may include high-speed random access storage media, and may also include non-volatile storage media, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state storage media. In some instances, the storage medium may further include storage media remotely configured relative to the processor, which can be connected to the terminal via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks, mobile communication networks, and combinations thereof.

[0065] The processor can execute the method steps of Embodiment 1 by calling the information and application stored in the storage medium through the transmission system.

[0066] In the above embodiments of the present invention, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0067] In the several embodiments provided by this invention, it should be understood that the disclosed technical content can be implemented in other ways. The system embodiments described above are merely illustrative; for example, the division of units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces, indirect coupling or communication connection between units or modules, and may be electrical or other forms.

[0068] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0069] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0070] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of the present invention. The aforementioned storage medium includes: USB flash drives, read-only memory (ROM), random access memory (RAM), portable hard drives, magnetic disks, optical disks, and other media capable of storing program code.

[0071] Obviously, the above embodiments are merely illustrative examples for clear explanation and are not intended to limit the implementation. Those skilled in the art will recognize that other variations or modifications can be made based on the above description. It is neither necessary nor possible to exhaustively list all possible implementations here. However, obvious variations or modifications derived therefrom are still within the scope of protection of this invention.

Claims

1. A method for predicting the safety status of construction hanging baskets using a digital twin model, characterized in that, include: Extract the component topology of the construction hanging basket, establish a finite element simulation model of the construction hanging basket based on the component topology, and construct the topological tension matrix of each node on the component. During construction, the geometric drift of each node on each component is acquired in real time. All geometric drifts of a node within a certain period are combined into a geometric drift vector. Based on the topological tension matrix, the geometric drift vector is mapped to the equivalent driving vector of a node, which serves as the external excitation of the node. Calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

2. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 1, characterized in that, Constructing the topological tension matrix of each node on the component includes: abstracting the topology of the construction hanging basket component into multiple nodes, wherein each end of each component is abstracted as a node; The topological tension matrix for each node on the component includes: , , in, These are the elements of the topological tension matrix excluding the diagonal elements. For the first component The node to the first The elastic modulus of each node, For the first component The node to the first Cross-sectional area of ​​each node For the first component The node to the first The geometric distance between nodes, These are the diagonal elements of the topological tension matrix; Elements of the topological tension matrix excluding the diagonal elements and the diagonal elements of the topological tension matrix Composition of topological tension matrix .

3. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 2, characterized in that, The geometric drift vector includes: , in, For time Time The geometric drift vector of each node. The number of samples within a certain period. This is the matrix transpose. Mapping a geometric drift vector to an equivalent driving vector for a node includes: , in, For time Time The equivalent driving vector of each node.

4. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 1, characterized in that, Calculating the predicted displacement field of a node based on the equivalent driving vector includes: calculating the equilibrium displacement field of a node based on the equivalent driving vector, including: , in, For time Time The equilibrium displacement field of each node For time Time Displacement field of each node; Calculating the displacement field of a node includes: , in, For time Time Displacement field of each node, For time Time The equilibrium displacement field of each node is the damping factor.

5. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 4, characterized in that, The axial stress of the component is calculated based on the displacement field, including: , in, For time From the first component The node to the first Axial stress of the component at each node, For time Time The displacement field of each node.

6. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 5, characterized in that, The state field of each node of the component is calculated based on the axial stress of the component, including: , in, For time Time The state field of each node For nodes A set of connected nodes. For the first component The node to the first The allowable axial stress of the component at each node.

7. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 6, characterized in that, Determining whether a corresponding node is unstable based on the state field includes: Time Time The state field of each node is compared with the preset state field threshold. When time... Time When the state field of a node is greater than 0, the corresponding node is in a stable state; otherwise, the corresponding node is in an unstable state.

8. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 7, characterized in that, When time Time When the state field of each node is greater than 0 and greater than or equal to the safety threshold, the time... Time Each node belongs to the stable region when time... Time When the state field of each node is greater than 0 and less than the safety threshold, time will be... Time Each node belongs to a potential instability domain.

9. The method for predicting the safety status of construction hanging baskets using a digital twin model as described in claim 6, characterized in that, Determining whether a corresponding node is unstable based on the state field includes: when The entire construction formwork is then in a potentially unstable state. For time The global convergence rate of the state field of all nodes at time. The convergence rate threshold, This represents the critical value of the state field; Calculation time Global convergence rate of all state fields at time include: , in, For time The sum of the state fields of all nodes at that time. For time The sum of the state fields of all nodes at that time. For time intervals.

10. A construction formwork safety status prediction system combining digital twin models, characterized in that, include: The simulation module is used to extract the component topology of the construction hanging basket, establish a finite element simulation model of the construction hanging basket based on the component topology, and construct the topological tension matrix of each node on the component. The simulated external excitation module is used to acquire the geometric drift of each node on each component in real time during construction. It forms a geometric drift vector by combining all the geometric drift of a node within a certain period, and maps the geometric drift vector to the equivalent driving vector of a node according to the topological tension matrix, which serves as the external excitation of the node. The safety assessment module is used to calculate the displacement field of a node based on the equivalent driving vector, calculate the axial stress of the component based on the displacement field, calculate the state field of each node of the component based on the axial stress of the component, and determine whether the corresponding node is unstable based on the state field.

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