Wind-resistant safety guarantee method for segmented hoisting of stiffening girder of large-span offshore suspension bridge

Abstract

This invention discloses a method for ensuring wind resistance safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea. It relates to the field of wind resistance technology for hoisting, including pre-construction measures based on bridge design parameters and construction organization plans. By establishing a wind resistance safety assurance system, and in actual use, creating a digital twin model covering the entire construction process and conducting multi-condition simulations in advance, this method can identify wind-induced risk vulnerabilities at each stage from hoisting to closure, transforming passive response into proactive anticipation. This greatly ensures the safety of personnel, equipment, and the structure. Simultaneously, refined management reduces unnecessary work stoppages, helps seize construction windows during limited typhoon breaks, shortens the overall construction period, facilitates real-time monitoring of each stage, and allows for the management, visualization, and storage of wind resistance safety assurance data and corresponding analysis results. Furthermore, it facilitates wind resistance safety assurance management through internet cloud control, improving the level of intelligence in wind resistance safety assurance management.

Description

Technical Field

[0001] This invention relates to the field of wind-resistant hoisting technology, specifically a method for ensuring wind-resistant safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea. Background Technology

[0002] When constructing long-span suspension bridges in typhoon-prone sea areas, the segmental hoisting process of the stiffening girder faces severe safety challenges due to wind-induced vibration. Unlike traditional completed bridges, the structural system during construction, such as in the form of empty cables or partially assembled structures, has low stiffness and low damping, and its dynamic characteristics are time-varying. Its flutter and critical wind speeds for instability in still wind are much lower than those in the completed bridge state. In particular, during the hoisting process, the girder segments are in a temporary hinged or freely suspended state, and their aerodynamic shape is incomplete. Under the action of wind, they are prone to large-scale swaying, twisting, or even overturning.

[0003] Currently, wind resistance safety during construction mainly relies on empirical judgments based on specifications and limited wind tunnel test results. A common practice is to determine the wind resistance performance of a few typical construction stages through numerical simulation and to specify a unified "safe operating wind speed".

[0004] This method has obvious shortcomings: It cannot cover all possible construction conditions and wind field combinations, and has weak adaptability to complex typhoon wind fields and sudden wind conditions; The contingency plan is fixed and cannot be dynamically adjusted according to real-time wind conditions and construction progress. The valuable measured data obtained during construction could not be used to optimize the prediction models and control strategies in subsequent stages. For example, in complex wind field environments like the Xiamen Third East Channel, relying solely on static plans may lead to frequent false shutdowns (reduced efficiency) or potential missed risks (endangering safety), resulting in many inconveniences.

[0005] Therefore, this invention requires the design of a wind-resistant safety assurance method for the segmented hoisting of stiffening girders in long-span suspension bridges at sea to solve the aforementioned problems. Summary of the Invention: The purpose of this invention is to provide an intelligent wind-resistant safety assurance method that integrates advanced numerical simulation, real-time monitoring and dynamic decision-making to solve the problems mentioned in the background art.

[0006] To address the above problems, the present invention provides a technical solution: The method for ensuring wind resistance safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea includes the following specific steps: S1. Before construction, based on the bridge design parameters and construction organization plan, a finite element digital twin model considering the dynamic evolution of the construction state is established; input historical typhoon wind field data of the bridge site, and couple the digital twin model to perform structural dynamic characteristics and static dynamic wind resistance stability simulation for each assembly rate stage of the stiffening girder from empty cable to closure, as well as multiple hoisting height conditions during the girder segment hoisting process; based on the simulation results, generate a decision plan library containing critical control wind speeds, warning levels and corresponding wind resistance control measures under different construction stages and meteorological conditions; S2. During construction, monitoring equipment is deployed at the bridge site and key structural locations to collect wind field data and structural response data in real time. Combining short-term wind field forecasts with current construction progress information, the working conditions are matched with the aforementioned decision-making plan database to dynamically call and execute corresponding early warning or wind-resistant control measures. S3. After construction, the wind field data and structural response data monitored during the actual construction process are compared and analyzed with the inference and prediction results in S1. Based on the deviation, the parameters of the digital twin model and the decision-making plan library are corrected and updated.

[0007] In a preferred embodiment of the present invention, in step S1, a finite element digital twin model considering the dynamic evolution of the construction state is established. Specifically, an overall finite element model including the main cable, suspenders, tower, and installed stiffening beam segment is established using ANSYS or ABAQUS software. The entire construction process of segmented hoisting and hinged to rigid connection of the stiffening beam is simulated using element birth and death technology and constraint state change method to calculate the modal frequency, mode shape and stiffness characteristics of each construction stage.

[0008] In a preferred embodiment of the present invention, step S1, generating a decision-making plan database, specifically involves: (a) Based on wind tunnel segment model tests, the critical flutter wind speed, vortex-induced vibration lock-in range and amplitude of stiffening beam sections under different assembly ratios were obtained; (b) Based on wind tunnel tests of the full-bridge aeroelastic model or numerical analysis of nonlinear static wind stability, obtain the critical wind speed for static wind instability at each construction stage; (c) Based on the flutter critical wind speed, the calm wind instability critical wind speed and the vortex vibration amplitude limit, divide the warning wind speed thresholds into four levels: blue, yellow, orange and red. (d) Match wind-resistant control measures for each warning level, including but not limited to: suspending hoisting operations, activating temporary connection devices between beam segments, applying counterweight blocks, or activating tuned mass dampers installed on the structure.

[0009] In a preferred embodiment of the present invention, the real-time data collected in step S2 includes: wind speed, wind direction, and turbulence intensity at the bridge site collected by laser wind radar and ultrasonic anemometer; and displacement and vibration acceleration response of the catwalk, the installed stiffening beam, and the hoisted beam segment collected by laser displacement meter and acceleration sensor.

[0010] In a preferred embodiment of the present invention, step S2 involves dynamically invoking and executing wind-resistant control measures, including: when the monitored or predicted wind speed approaches 80% of the flutter critical wind speed of the current construction stage, the system automatically issues an early warning and activates a preset passive control device; for beam segments being hoisted, when the torsional angular displacement is detected to exceed the safety limit, the winch system is automatically controlled to perform slow lowering or lifting operations to change its aerodynamic state.

[0011] As a preferred embodiment of the present invention, a wind-resistant safety assurance system needs to be constructed before proceeding to step S1. The wind-resistant safety assurance system includes a pre-construction control module, a construction monitoring module, and a post-construction correction module. The pre-construction control module is used to execute step S1, establish a digital twin model, and generate a decision-making plan library; The construction monitoring module is used to execute step S2 to achieve data acquisition, working condition matching and measure execution. The post-construction correction module is used to execute step S3 and complete the feedback optimization of the model and the plan.

[0012] In a preferred embodiment of the present invention, the pre-construction control module includes a construction status digital twin model, a wind resistance decision-making plan library, and a synchronous data update unit. The construction status digital twin model and the wind resistance decision-making plan library are bidirectionally connected, and the synchronous data update unit is integrated into the construction status digital twin model and the wind resistance decision-making plan library respectively. The construction status digital twin model unit is used to dynamically simulate the structural status of the entire construction process based on finite element theory; The wind resistance decision-making plan library unit is used to store and manage early warning thresholds and control strategies under different operating conditions; The synchronous data update unit is used to synchronize the latest design changes and construction plans to the digital twin model and contingency plan library before construction starts.

[0013] In a preferred embodiment of the present invention, the construction monitoring module includes a working condition matching and plan invocation unit, a real-time assimilation forecasting unit, and a real-time monitoring unit. The working condition matching and plan invocation unit and the real-time assimilation forecasting unit are both bidirectionally connected to the real-time monitoring unit. The working condition matching and contingency plan recall unit is used to combine the current construction progress with the real-time / forecasted wind field into a real-time working condition, and retrieve matching decisions from the contingency plan library; The real-time assimilation forecasting unit is used to integrate monitored wind field data with numerical weather forecasts to provide a refined short-term wind field forecast for the next 0-6 hours. The real-time monitoring unit is used to control various sensors deployed on site to collect wind field and structural response data.

[0014] In a preferred embodiment of the present invention, the post-construction correction module includes an actual data correction unit, a visualization unit, and an emergency response unit, wherein the outputs of the actual data correction unit and the emergency response unit are both communicatively connected to the input of the visualization unit. The actual data correction unit is used to compare and analyze the difference between the measured response and the predicted response, and to correct the boundary conditions or aerodynamic parameters of the digital twin model through parameter inversion. The visualization unit is used to display monitoring data, early warning information, and contingency plan execution status in real time through a three-dimensional graphical interface; The emergency response unit is used to provide a manual intervention interface and emergency response procedure guidance when the automatic contingency plan fails or when extreme and sudden weather conditions occur.

[0015] In a preferred embodiment of the present invention, the wind-resistant safety protection system further includes a safety protection module, which is independent of the main control system and is used to continuously monitor key safety indicators. Once the monitoring data exceeds the hard safety red line, it immediately bypasses the logic of the main control system and directly sends the highest level emergency braking command to the actuator.

[0016] The beneficial effects of this invention are as follows: By setting up a wind-resistant safety assurance system, this invention, in actual use, establishes a digital twin model covering the entire construction process and conducts multi-condition simulations in advance, enabling the early identification of wind-induced risk vulnerabilities at each stage from hoisting to closure, transforming passive response into proactive anticipation; by combining real-time monitored wind field data and short-term forecasts with the current precise construction progress, it can dynamically call the control strategy best suited to the current actual working conditions from the contingency plan library, greatly improving the accuracy and timeliness of decision-making and avoiding efficiency losses or safety blind spots caused by one-size-fits-all management; and by using actual data after construction to correct the model and contingency plan library, the system possesses self-learning and self-correcting capabilities. With improved optimization capabilities, forecasts will become increasingly accurate and contingency plans will become more realistic as the project progresses. This will accumulate high-fidelity data and knowledge for similar projects in the future. Through tiered early warning systems and automatic and semi-automatic control measures, timely intervention can be implemented before risks occur, greatly ensuring the safety of personnel, equipment, and structures. At the same time, refined management reduces unnecessary work stoppages, helps to seize construction windows during limited typhoon breaks, shortens the overall construction period, facilitates real-time monitoring of every link, and enables the management, visualization, and storage of typhoon safety assurance data and corresponding analysis results. It also helps to achieve typhoon safety assurance management through Internet cloud management, improving the level of intelligence in typhoon safety assurance management. Attached image description: For ease of explanation, the present invention will be described in detail below with reference to specific embodiments and accompanying drawings.

[0017] Figure 1 This is a flowchart illustrating the overall steps of the wind-resistant safety assurance method for the segmented hoisting of stiffening girders in a long-span suspension bridge at sea, as described in this invention. Figure 2 This is a topological diagram of the overall structure of the wind resistance safety assurance system for the wind resistance safety assurance method of segmented hoisting of stiffening beams for long-span suspension bridges at sea, as described in this invention. Detailed implementation method: like Figure 1 and Figure 2 As shown, the specific implementation adopts the following technical solution: The method for ensuring wind resistance safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea includes the following specific steps: S1. Before construction, based on the bridge design parameters and construction organization plan, a finite element digital twin model considering the dynamic evolution of the construction state is established; input historical typhoon wind field data of the bridge site, and couple the digital twin model to perform structural dynamic characteristics and static dynamic wind resistance stability simulation for each assembly rate stage of the stiffening girder from empty cable to closure, as well as multiple hoisting height conditions during the girder segment hoisting process; based on the simulation results, generate a decision plan library containing critical control wind speeds, warning levels and corresponding wind resistance control measures under different construction stages and meteorological conditions; Establish a finite element digital twin model that considers the dynamic evolution of the construction state. Specifically, use ANSYS or ABAQUS software to establish an overall finite element model including the main cable, suspenders, tower, and installed stiffening girder segments. Employ element birth and death techniques and constraint state change methods to simulate the entire construction process of segmented hoisting and hinged to rigid connection of the stiffening girder, so as to calculate the modal frequencies, mode shapes, and stiffness characteristics of each construction stage. The decision-making plan library is generated as follows: (a) Based on wind tunnel segment model tests, the critical flutter wind speed, vortex-induced vibration lock-in range and amplitude of stiffening beam sections under different assembly ratios were obtained; (b) Based on wind tunnel tests of the full-bridge aeroelastic model or numerical analysis of nonlinear static wind stability, obtain the critical wind speed for static wind instability at each construction stage; (c) Based on the flutter critical wind speed, the calm wind instability critical wind speed and the vortex vibration amplitude limit, divide the warning wind speed thresholds into four levels: blue, yellow, orange and red. (d) Match wind-resistant control measures for each warning level, including but not limited to: suspending hoisting operations, activating temporary connection devices between beam segments, applying counterweight blocks, or activating tuned mass dampers installed on the structure; S2. During construction, monitoring equipment is deployed at the bridge site and key structural locations to collect wind field data and structural response data in real time. Combining short-term wind field forecasts with current construction progress information, the working conditions are matched with the aforementioned decision-making plan database to dynamically call and execute corresponding early warning or wind-resistant control measures. The real-time data collected includes: wind speed, wind direction, and turbulence intensity at the bridge site, collected by laser wind radar and ultrasonic anemometer; and displacement and vibration acceleration response of the catwalk, the installed stiffening beam, and the hoisted middle beam segment, collected by laser displacement meter and acceleration sensor. Dynamically invoke and execute wind-resistant control measures, including: when the monitored or forecasted wind speed is close to 80% of the flutter critical wind speed of the current construction stage, the system automatically issues an early warning and activates the preset passive control device; for beam segments being hoisted, when the torsional angular displacement is detected to exceed the safety limit, the winch system is automatically controlled to perform slow lowering or lifting operations to change its aerodynamic state. S3. After construction, the wind field data and structural response data monitored during the actual construction process are compared and analyzed with the inference and prediction results in S1. Based on the deviation, the parameters of the digital twin model and the decision-making plan library are corrected and updated.

[0018] Before proceeding to step S1, a wind-resistant safety assurance system needs to be constructed, which includes a pre-construction control module, a construction monitoring module, and a post-construction correction module. The pre-construction control module is used to execute step S1, establish a digital twin model, and generate a decision-making plan library; The pre-construction control module includes a construction status digital twin model, a wind resistance decision-making plan library, and a synchronous data update unit. The construction status digital twin model and the wind resistance decision-making plan library are bidirectionally connected, and the synchronous data update unit is integrated into both the construction status digital twin model and the wind resistance decision-making plan library. The construction status digital twin model unit is used to dynamically simulate the structural state of the entire construction process based on finite element theory. The wind resistance decision-making plan library unit is used to store and manage early warning thresholds and control strategies under different working conditions. The synchronous data update unit is used to synchronize the latest design changes and construction plans to the digital twin model and the plan library before construction starts. The construction monitoring module is used to execute step S2 to achieve data acquisition, working condition matching and measure execution. The construction monitoring module includes a working condition matching and contingency plan retrieval unit, a real-time assimilation forecasting unit, and a real-time monitoring unit. Both the working condition matching and contingency plan retrieval unit and the real-time assimilation forecasting unit are bidirectionally connected to the real-time monitoring unit. The working condition matching and contingency plan retrieval unit combines the current construction progress with the real-time / forecasted wind field to form a real-time working condition and retrieves matching decisions from the contingency plan database. The real-time assimilation forecasting unit integrates monitored wind field data with numerical weather forecasts to provide a refined short-term wind field forecast for the next 0-6 hours. The real-time monitoring unit controls various sensors deployed on-site to collect wind field and structural response data. The post-construction correction module is used to execute step S3 and complete the feedback optimization of the model and the plan; The post-construction correction module includes an actual data correction unit, a visualization unit, and an emergency response unit. The outputs of the actual data correction unit and the emergency response unit are both communicatively connected to the input of the visualization unit. The actual data correction unit is used to compare and analyze the difference between the measured response and the predicted response, and to correct the boundary conditions or aerodynamic parameters of the digital twin model through parameter inversion. The visualization unit is used to display monitoring data, early warning information, and the status of contingency plan execution in real time through a three-dimensional graphical interface. The emergency response unit is used to provide a manual intervention interface and emergency response procedure guidance when the automatic contingency plan fails or when extreme and sudden weather conditions occur.

[0019] The wind-resistant safety protection system also includes a safety protection module, which is independent of the main control system and is used to continuously monitor key safety indicators. Once the monitored data exceeds the hard safety red line, it immediately bypasses the logic of the main control system and directly sends the highest level emergency braking command to the actuator.

[0020] Example Taking the hoisting construction of the 15th beam segment in the middle span of a 928m main span sea suspension bridge as an example, the method of this invention is applied as follows: S1. Based on the design drawings, a digital twin model of the bridge was established in the numerical wind tunnel laboratory. The simulation showed that when the 15th beam segment was hoisted to a height of 50 meters above the design elevation and the assembly rate of the installed beam segments was 40%, the critical flutter wind speed of the beam segment-sling system under this condition was approximately 23 m / s. Based on this, the contingency plan library generated the following: when the predicted wind speed reaches 18.4 m / s (critical wind speed 80%), an orange alert will be issued, and the contingency plan measure is to "activate the pre-set temporary aerodynamic deflectors on the beam segment and prepare for the lowering operation." S2. During the actual hoisting of beam segment 15, the monitoring module showed a real-time wind speed of 15 m / s. However, the real-time assimilation forecast unit predicted that the wind speed would rise to 20 m / s in 30 minutes. Given that the current hoisting height was 55 meters, the system used "40% assembly rate + 55-meter hoisting height + predicted wind speed of 20 m / s" as the real-time operating condition and matched it with the contingency plan database. The matching result triggered an orange alert. The system automatically sent an alert signal to the site and activated the deflector on the beam segment. Simultaneously, the monitoring unit reported that the current torsional vibration acceleration of the beam segment was 0.05g, which was within a safe range. S3. After the hoisting was completed, the actual data correction unit analysis found that the actual vibration response of the beam segment was slightly lower than the predicted value of the digital twin model at a wind speed of 20 m / s. The analysis showed that this was due to the difference between the actual sea surface roughness and the model preset value. The system automatically corrected the relevant aerodynamic parameters in the model, making the prediction of similar working conditions in the future more accurate, and enriched the data of this successful guide vane vibration suppression case into the contingency plan library.

[0021] Specifically, in practical applications, the system incorporates multiple in-construction monitoring modules, which work in conjunction with pre-construction control and post-construction correction modules. These monitoring modules are located in different geographical locations. By establishing a wind-resistant safety assurance system, and in actual use, creating a digital twin model covering the entire construction process and conducting multi-condition simulations in advance, the system can identify wind-induced risk vulnerabilities at each stage from hoisting to closure, transforming passive response into proactive anticipation. By combining real-time wind field data and short-term forecasts with the current precise construction progress, the system can dynamically retrieve the most suitable control strategy from the contingency plan library, greatly improving the accuracy and timeliness of decision-making and avoiding efficiency losses or safety blind spots caused by one-size-fits-all management. The system uses actual post-construction data to revise the model and contingency plan database, enabling it to learn and optimize itself. As the project progresses, predictions become increasingly accurate, and contingency plans become more realistic. This accumulates high-fidelity data and knowledge for similar projects in the future. Through tiered early warning and automatic / semi-automatic control measures, timely intervention can be implemented before risks occur, greatly ensuring the safety of personnel, equipment, and structures. At the same time, refined management reduces unnecessary downtime, helps to seize construction windows during limited typhoon breaks, shortens the overall construction period, facilitates real-time monitoring of every link, and enables the management, visualization, and storage of typhoon safety assurance data and corresponding analysis results. It also facilitates the realization of typhoon safety assurance management through Internet cloud management, improving the level of intelligence in typhoon safety assurance management.

[0022] Those skilled in the art will recognize that the modules and method steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementations should not be considered beyond the scope of this invention.

[0023] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the devices, equipment, and modules described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here.

[0024] In the embodiments provided in this application, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative; for instance, the division of modules is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple modules or units may be combined or integrated into another device, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be indirect coupling or communication connection through some interfaces, devices, or equipment, and may be electrical, mechanical, or other forms.

[0025] The modules for pre-construction control, in-construction monitoring, and post-construction correction may or may not be physically separate. The components displayed as modules 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.

[0026] In addition, the functional modules in the various embodiments of the present invention can be integrated into one processing module, or each module can exist physically separately, or two or more modules can be integrated into one module.

[0027] The above are merely preferred embodiments of the present invention and are not intended to limit the scope of protection of the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, characterized in that... The specific steps include the following: S1. Before construction, based on the bridge design parameters and construction organization plan, a finite element digital twin model considering the dynamic evolution of the construction state is established; input historical typhoon wind field data of the bridge site, and couple the digital twin model to conduct structural dynamic characteristics and static and dynamic wind resistance stability simulation for each assembly rate stage of the stiffening girder from empty cable to closure, as well as multiple hoisting height conditions during the girder segment hoisting process; based on the simulation results, generate a decision plan library containing critical control wind speeds, warning levels and corresponding wind resistance control measures under different construction stages and meteorological conditions; S2. During construction, monitoring equipment is deployed at the bridge site and key structural locations to collect wind field data and structural response data in real time. Combining short-term wind field forecasts with current construction progress information, the working conditions are matched with the aforementioned decision-making plan database to dynamically call and execute corresponding early warning or wind-resistant control measures. S3. After construction, the wind field data and structural response data monitored during the actual construction process are compared and analyzed with the inference and prediction results in S1. Based on the deviation, the parameters of the digital twin model and the decision-making plan library are corrected and updated.

2. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 1, is characterized in that: In step S1, a finite element digital twin model considering the dynamic evolution of the construction state is established. Specifically, an overall finite element model including the main cable, suspenders, tower, and installed stiffening beam segment is established using ANSYS or ABAQUS software. The entire construction process of segmented hoisting and hinged to rigid connection of the stiffening beam is simulated using element birth and death technology and constraint state change method to calculate the modal frequency, mode shape and stiffness characteristics of each construction stage.

3. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 1, is characterized in that: In step S1, generating the decision-making plan library specifically involves: (a) Based on wind tunnel segment model tests, the critical flutter wind speed, vortex-induced vibration lock-in range and amplitude of stiffening beam sections under different assembly ratios were obtained; (b) Based on wind tunnel tests of the full-bridge aeroelastic model or numerical analysis of nonlinear static wind stability, obtain the critical wind speed for static wind instability at each construction stage; (c) Based on the flutter critical wind speed, the calm wind instability critical wind speed and the vortex vibration amplitude limit, divide the warning wind speed thresholds into four levels: blue, yellow, orange and red. (d) Match wind-resistant control measures for each warning level, including but not limited to: suspending hoisting operations, activating temporary connection devices between beam segments, applying counterweight blocks, or activating tuned mass dampers installed on the structure.

4. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 3, is characterized in that: In step S2, the real-time collected data includes: wind speed, wind direction, and turbulence intensity at the bridge site, collected by laser wind radar and ultrasonic anemometer.

5. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 1, is characterized in that: In step S2, wind-resistant control measures are dynamically invoked and executed, including: when the monitored or predicted wind speed approaches 80% of the flutter critical wind speed of the current construction stage, the system automatically issues an early warning and activates the preset passive control device.

6. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 5, is characterized in that: Before proceeding to step S1, a wind-resistant safety assurance system needs to be constructed, which includes a pre-construction control module, a construction monitoring module, and a post-construction correction module. The pre-construction control module is used to execute step S1, establish a digital twin model, and generate a decision-making plan library; The construction monitoring module is used to execute step S2 to achieve data acquisition, working condition matching and measure execution. The post-construction correction module is used to execute step S3 and complete the feedback optimization of the model and the plan.

7. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 1, is characterized in that: The pre-construction control module includes a construction status digital twin model, a wind resistance decision-making plan library, and a synchronous data update unit. The construction status digital twin model and the wind resistance decision-making plan library are bidirectionally connected, and the synchronous data update unit is integrated into the construction status digital twin model and the wind resistance decision-making plan library, respectively. The construction status digital twin model unit is used to dynamically simulate the structural status of the entire construction process based on finite element theory; The wind resistance decision-making plan library unit is used to store and manage early warning thresholds and control strategies under different operating conditions; The synchronous data update unit is used to synchronize the latest design changes and construction plans to the digital twin model and contingency plan library before construction starts.

8. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 7, is characterized in that: The construction monitoring module includes a working condition matching and contingency plan invocation unit, a real-time assimilation and forecasting unit, and a real-time monitoring unit. The working condition matching and contingency plan invocation unit and the real-time assimilation and forecasting unit are all bidirectionally connected to the real-time monitoring unit. The working condition matching and contingency plan invocation unit is used to combine the current construction progress with the real-time / forecasted wind field to form a real-time working condition. The real-time assimilation forecasting unit is used to fuse monitoring wind field data with numerical weather forecasts; The real-time monitoring unit is used to control various sensors deployed on site to collect wind field and structural response data.

9. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 1, is characterized in that: The post-construction correction module includes an actual data correction unit, a visualization unit, and an emergency response unit. The outputs of the actual data correction unit and the emergency response unit are both communicatively connected to the input of the visualization unit. The actual data correction unit is used to compare and analyze the difference between the measured response and the predicted response, and to correct the boundary conditions or aerodynamic parameters of the digital twin model through parameter inversion. The visualization unit is used to display monitoring data, early warning information, and contingency plan execution status in real time through a three-dimensional graphical interface; The emergency response unit is used to provide a manual intervention interface and emergency response procedure guidance when the automatic contingency plan fails or when extreme and sudden weather conditions occur.

10. The method for ensuring wind resistance and safety during the segmented hoisting of stiffening girders for long-span suspension bridges at sea, as described in claim 9, is characterized in that: The wind-resistant safety protection system also includes a safety protection module, which is independent of the main control system and is used to continuously monitor key safety indicators. Once the monitored data exceeds the hard safety red line, it immediately bypasses the logic of the main control system and directly sends the highest level emergency braking command to the actuator.

Images