Early warning system for global deformation monitoring of steel-concrete composite bridge

Abstract

The application discloses a kind of about steel-concrete composite bridge deformation global monitoring early warning system, it is related to bridge global monitoring technical field, the application includes bridge global monitoring module, dynamic and static deformation decoupling module, bridge global analysis module, early warning terminal and database, by steel-concrete composite bridge is monitored globally, global data are collected, and global data are decomposed, corresponding collaborative deformation coupling model of steel-concrete composite bridge is constructed, while combining measured data constitutes the global deformation field corresponding to steel-concrete composite bridge, and the deformation risk corresponding to steel-concrete composite bridge is predicted, the disease type of bridge corresponding deformation is identified, corresponding maintenance is executed, the application safety corresponding to steel-concrete composite bridge is efficiently guaranteed, to solve the deficiency of current steel-concrete composite bridge monitoring singleness, realize the comprehensive coverage monitoring of bridge corresponding globalization, reduce the probability of occurrence of each type of disease of bridge and disease progression rate.

Description

Technical Field

[0001] This invention relates to the field of bridge full-area monitoring technology, specifically to an early warning system for full-area deformation monitoring of steel-concrete composite bridges. Background Technology

[0002] With the increasing popularity of vehicles, the demand for steel-concrete composite bridges is also growing. Therefore, an early warning system for full-area deformation monitoring of steel-concrete composite bridges is proposed to achieve full-area monitoring of steel-concrete composite bridges, further ensure the safety of steel-concrete composite bridges, effectively prevent bridge deformation risks, reduce the probability of bridge deformation or other abnormal risks, and improve the service life of steel-concrete composite bridges.

[0003] Existing technology, such as the invention patent application CN120115888B, discloses a device and method for preventing welding deformation in the manufacturing of steel-concrete composite bridges. This relates to the field of welding manufacturing technology for steel-concrete composite bridges. The device includes a working frame, support columns, short crossbeams, and long crossbeams. A heat-insulating component is symmetrically arranged on the top of the working frame. This component continuously heats the crossbeams during the welding of multiple longitudinal beams. The heat-insulating component includes a heat-insulating box, heating pipes, and vertical rods. A receiving plate is fixedly arranged on the right side of the working frame. This invention addresses this by symmetrically arranging two sets of heat-insulating components on the top of the workbench. By maintaining temperature uniformity in the welding area and adjacent areas, the heat-insulating components reduce the difference in welding cooling rates, thereby reducing tensile stress caused by rapid local contraction and compressive stress caused by subsequent welding extrusion. This constant temperature control significantly reduces the thermal stress gradient and suppresses the cumulative deformation of the crossbeams caused by repeated expansion and contraction during the welding process.

[0004] Existing technology, such as the invention patent application with publication number CN111644731B, discloses a method for reducing welding deformation in the manufacture of steel-concrete composite bridges. This method includes the following steps: providing a horizontally placed base plate and a vertically placed longitudinal beam; arranging the longitudinal beam along the direction of the base plate, with the bottom end of the longitudinal beam and the top end of the base plate abutting; and simultaneously welding the abutting surfaces of the longitudinal beam and the base plate from the middle outwards. The method for reducing welding deformation in the manufacture of steel-concrete composite bridges provided by this invention reduces the persistent problem of welding deformation by adjusting the welding sequence of the members, optimizing the bridge manufacturing jig, adjusting the manufacturing pre-camber value, optimizing the steel bridge structure design, and optimizing the manufacturing process. This successfully reduces the problem of large welding deformation in steel-concrete composite bridges, thereby improving work efficiency and achieving rapid construction.

[0005] Current technologies suffer from the following problems: Current monitoring of deformation in steel-concrete composite bridges suffers from limitations such as single safety limits and data silos. While bridge structural responses exhibit inherent time-varying characteristics, fixed, single safety limits can only cover a single abnormal feedback, leading to misjudgments of abnormalities when normal bridge phenomena change over time. Furthermore, the lack of interoperability between monitoring data results in ineffective data linkage, hindering accurate identification of the bridge's corresponding state and providing effective data support. Simultaneously, efficient separation of data across the entire data domain is difficult, making it impossible to effectively assess inherent structural degradation trends or accurately identify abnormal changes caused by short-term overloads. This, to some extent, increases bridge safety risks and reduces bridge service life. Summary of the Invention

[0006] To address the aforementioned technical shortcomings, the present invention aims to provide an early warning system for full-range deformation monitoring of steel-concrete composite bridges.

[0007] To solve the above-mentioned technical problems, the present invention adopts the following technical solution: The present invention provides an early warning system for full-domain deformation monitoring of steel-concrete composite bridges, including: a bridge full-domain monitoring module, used to construct full-domain monitoring corresponding to steel-concrete composite bridges, collect full-domain data, and preprocess the full-domain data.

[0008] The dynamic-static deformation decoupling module is used to decompose the preprocessed global data and construct a collaborative deformation coupling model for steel-concrete composite bridges. At the same time, it combines measured data to form a global deformation field for steel-concrete composite bridges.

[0009] The bridge global analysis module is used to adjust the early warning threshold for steel-concrete composite bridges based on the global deformation field, predict the deformation trend risk of steel-concrete composite bridges, identify the types of defects in the deformation of steel-concrete composite bridges, and analyze the maintenance methods for the deformation of steel-concrete composite bridges.

[0010] The early warning terminal is used to provide early warnings when there is deformation in a steel-concrete composite bridge.

[0011] The beneficial effects of this invention are as follows: 1. This invention provides an early warning system and method for full-domain deformation monitoring of steel-concrete composite bridges. By conducting full-domain monitoring of steel-concrete composite bridges, collecting full-domain data, and decomposing the full-domain data, a collaborative deformation coupling model corresponding to the steel-concrete composite bridge is constructed. At the same time, combined with measured data, a full-domain deformation field corresponding to the steel-concrete composite bridge is constructed, and the deformation risk of the steel-concrete composite bridge is predicted. The types of bridge defects are identified, and corresponding maintenance is performed. This effectively ensures the application safety of steel-concrete composite bridges, solves the shortcomings of the current single-domain monitoring of steel-concrete composite bridges, realizes comprehensive full-domain monitoring of bridges, reduces the probability of various types of bridge defects and the rate of defect deterioration, takes timely and effective bridge safety measures for prevention and maintenance, and further extends the service life of steel-concrete composite bridges.

[0012] 2. Construct a comprehensive monitoring system for steel-concrete composite bridges, collect comprehensive data, and preprocess the data to achieve comprehensive monitoring of steel-concrete composite bridges. This addresses the shortcomings of current single-domain bridge monitoring and provides rich and effective references for subsequent deformation assessment of bridges.

[0013] 3. The preprocessed global data is decomposed and a collaborative deformation coupling model corresponding to the steel-concrete composite bridge is constructed. At the same time, the global deformation field corresponding to the steel-concrete composite bridge is constructed by combining the measured data. This achieves bidirectional and accurate decomposition of global deformation data, effectively solving the problems of dynamic and static coupling of traditional monitoring data and inability to distinguish between structural deterioration and working condition elastic deformation, and providing accurate data support for the construction of subsequent models.

[0014] 4. By adjusting the early warning thresholds for steel-concrete composite bridges, the deformation trend risk of steel-concrete composite bridges can be predicted, the types of defects in steel-concrete composite bridges can be identified, and the maintenance methods for steel-concrete composite bridges can be analyzed. This will enable a comprehensive analysis of defect identification, risk assessment, and maintenance guidance, fully ensuring the safety of bridge application and improving the service life of steel-concrete composite bridges. Attached Figure Description

[0015] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0016] Figure 1 This is a schematic diagram of the system structure connection of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Please see Figure 1 As shown, an early warning system for full-domain deformation monitoring of steel-concrete composite bridges includes a full-domain bridge monitoring module, a dynamic-static deformation decoupling module, a full-domain bridge analysis module, an early warning terminal, and a database.

[0019] The bridge full-domain monitoring module is connected to the dynamic and static deformation decoupling module and the database, the dynamic and static deformation decoupling module is connected to the bridge full-domain analysis module and the database, and the bridge full-domain analysis module is connected to the early warning terminal and the database.

[0020] The bridge full-domain monitoring module is used to construct full-domain monitoring for steel-concrete composite bridges, collect full-domain data, and preprocess the full-domain data.

[0021] A comprehensive monitoring system for steel-concrete composite bridges was constructed, data was collected from the entire area, and the data was preprocessed to achieve comprehensive monitoring of steel-concrete composite bridges. This addresses the shortcomings of current bridge monitoring systems that only cover a single area and provides a wealth of effective references for subsequent deformation assessment of the bridges.

[0022] As an optional implementation method, the construction of the comprehensive monitoring system for steel-concrete composite bridges is specifically constructed as follows: First, a mechanical analysis is performed on the stress conditions, structural control sections, and weak components of the steel-concrete composite bridges to obtain the key nodes corresponding to each component. Point-based monitoring is then used to capture local micro-deformation, interface slip, and abrupt strain characteristics. Second, based on the mechanical law of continuous deformation distribution of each long linear component, a linear continuous monitoring link is deployed along the longitudinal direction of the bridge to perform linear monitoring of beam deformation trends, stiffness abrupt change locations, and deformation transmission paths. Finally, based on the overall deformation characteristics of each surface structure, a surface monitoring system combining multi-point networking and surface scanning technology is established to perform regional defect monitoring, thus comprehensively constructing a comprehensive point-line-surface monitoring system for steel-concrete composite bridges.

[0023] It should be noted that the mechanical analysis involved a combination of structural mechanics analysis, finite element simulation, and statistical analysis of structural defects to identify key nodes. First, based on the bridge design load standards, vehicle loads, temperature effects, wind loads, shrinkage, and creep were simulated to perform overall stress calculations, obtaining the distribution patterns of internal forces, stresses, and deformations throughout the bridge. Second, based on the finite element model, detailed simulation calculations were performed on the main beams, piers, supports, and steel-concrete composite sections to locate peak stress areas, extreme deformation locations, and areas of abrupt stiffness changes. Due to the differences in mechanical properties between steel and concrete, the steel-concrete composite sections are prone to interface stress concentration and internal force redistribution. Finally, combined with the statistical patterns of historical operational defects in steel-concrete composite bridges, weak areas were identified, thus selecting key nodes. Components included pier tops, mid-span sections, supports, and steel-concrete composite sections; long linear components included main beams and pier bodies; surface structures included bridge decks, box girder bottom slabs, and pier facades; regional defects included uneven settlement, slab bulging, and voids.

[0024] As an optional implementation, the global data includes structural deformation data, environmental parameter data, load condition data, and equipment status data. The collected global data is then subjected to noise reduction and impurity removal, abnormal data removal, zone temperature compensation, time alignment, and format normalization to complete the corresponding data preprocessing.

[0025] It should be noted that the structural deformation data includes vertical deflection, horizontal displacement, local rotation angle, interface slippage of the steel-concrete composite section, inter-story gap, component strain, pier settlement and tilt, etc.; environmental parameter data includes ambient temperature and humidity, component surface temperature, wind speed and wind direction, etc.; load condition data includes axle load and traffic flow density of passing vehicles, etc.; equipment status data includes operating signals and signal strength of various sensors, etc.; and the data is collected from the entire domain based on linear sensing devices such as strain gauges, inclinometers, GNSS, hydrostatic level, 3D laser scanning, machine vision and distributed fiber optics.

[0026] The dynamic-static deformation decoupling module is used to decompose the preprocessed global data and construct a collaborative deformation coupling model for steel-concrete composite bridges. At the same time, it combines measured data to form a global deformation field for steel-concrete composite bridges.

[0027] The preprocessed global data is decomposed, and a collaborative deformation coupling model corresponding to the steel-concrete composite bridge is constructed. At the same time, the global deformation field corresponding to the steel-concrete composite bridge is constructed by combining the measured data. This achieves bidirectional and accurate decomposition of global deformation data, effectively solving the problems of dynamic and static coupling of traditional monitoring data and the inability to distinguish between structural deterioration and working condition elastic deformation, and providing accurate data support for the construction of subsequent models.

[0028] As an optional implementation, the preprocessed global data is decomposed, and the specific decomposition process is as follows: Based on the deformation evolution law of steel-concrete composite bridges, the preprocessed global data is divided into long-term slow-varying components and instantaneous fluctuation components. According to the time-series trend fitting and low-frequency filtering algorithm, the static permanent deterioration deformation caused by concrete shrinkage and creep, foundation settlement, and structural aging is extracted. At the same time, the dynamic elastic deformation caused by vehicle load, wind vibration, and instantaneous temperature fluctuation is obtained through high-frequency signal separation algorithm. With these two deformation features, the global data is completely decomposed.

[0029] It should be noted that static permanent deterioration deformation: First, the overall trend of the continuous time-series deformation sequence is fitted to obtain the long-term evolution trend of the deformation. Then, low-frequency passband filtering parameters are set to filter out high-frequency fluctuation signals such as vehicles, wind loads, and instantaneous temperature changes, and retain the low-frequency components that change slowly and develop unidirectionally over a long period of time. This component corresponds to the deformation caused by concrete shrinkage and creep, pier foundation settlement, and component performance aging. It has the characteristics of low rate of change, irreversibility, and continuous accumulation, which is the static permanent deterioration deformation of the structure. Dynamic elastic deformation: The difference between the full-domain data and the extracted low-frequency static components is calculated to separate the remaining high-frequency fluctuation signals. Then, invalid noise such as equipment noise is removed by combining signal characteristics to obtain the dynamic response components caused by traffic vehicle loads, environmental wind vibration, and instantaneous temperature fluctuations between day and night. This type of deformation fluctuates in real time with external working conditions and has elastic reversible characteristics, which is the dynamic elastic deformation of the bridge.

[0030] As an optional implementation method, the construction process of the cooperative deformation coupling model corresponding to the steel-concrete composite bridge is as follows: extract the basic mechanical performance index parameters of the steel-concrete bridge from the database, and obtain the mechanical differences and deformation response laws between the constituent materials of the steel-concrete bridge based on the basic mechanical performance index parameters. Then, combine the structural connection relationship of the steel-concrete composite bridge to obtain the model boundary conditions and contact relationship, form the coupling action rules, and then import the long-term slow-change component and the instantaneous fluctuation component. Based on the parameters, iteratively fit to construct the cooperative deformation coupling model corresponding to the steel-concrete composite bridge.

[0031] It should be noted that the basic mechanical performance parameters include elastic modulus, Poisson's ratio, coefficient of thermal expansion, and shrinkage and creep parameters; the structural connection relationship refers to the overall structural form of the steel-concrete composite bridge, the support constraints, and the connection structure of the steel-concrete joint section; the coupling action rules refer to the rules of segment interface slippage, internal force redistribution, and stiffness abrupt change; after the data is imported, it is also necessary to sequentially calibrate the evolution relationship of structural creep and uneven settlement under static conditions, and the collaborative stress mechanism of steel and concrete under vehicle and wind loads under dynamic conditions, so as to construct a collaborative deformation coupling model with multiple comprehensive properties such as material differences, interface coupling, and dynamic and static deformation correlation; the mechanical differences refer to the inherent physical and mechanical parameters of steel and concrete, such as elastic modulus, Poisson's ratio, coefficient of thermal expansion, and shrinkage and creep parameters. The distinction lies in the inherent reasons for uneven stress and abrupt stiffness changes in the composite structure; the deformation response law refers to how the two conditions will deform under external force, time, and temperature, how the deformation will develop, whether it can recover after unloading, and the overall performance of mutual constraint and coordinated deformation; the boundary conditions refer to the constraint forms, displacement restrictions, and external load application rules of each support part of the steel-concrete composite bridge, used to restore the external constraint state of the bridge in the actual service environment and avoid rigid body displacement and stress distortion problems in the model; the contact relationship refers to the force transmission mode, friction characteristics, relative slippage and separation rules between the steel-concrete interface and the component splicing surface, used to show the interaction between the two materials, steel and concrete, and restore typical mechanical behaviors such as force redistribution and interface slippage in the joint section.

[0032] As an optional implementation, the construction process of the global deformation field corresponding to the steel-concrete composite bridge by combining measured data is as follows: taking the finite element model corresponding to the steel-concrete composite bridge as the reference model, and using the constraint conditions corresponding to the cooperative deformation coupling model as the constraint conditions of the reference model, then importing the measured data, comparing the difference between the simulated deformation value and the actual monitored deformation value of the bridge, calculating the residual, and correcting the finite element model parameters in reverse through an iterative optimization algorithm. When the simulation calculation result is consistent with the preset result, the dynamic calibration of the finite element reference model is completed. Based on the calibrated finite element reference model, spatial interpolation and fitting calculations are performed in combination with global discrete data to deduce the deformation state of the entire bridge area, thus constructing the global deformation field corresponding to the steel-concrete composite bridge.

[0033] It should be noted that the measured data includes static measured data, dynamic measured data, environmental and load measured data, and environmental and point-line-surface full-domain true deformation distribution data; among them, static measured data includes long-term settlement data, creep deformation data, pier tilt data, residual slip data of steel-concrete composite section, and structural static strain data, etc.; dynamic measured data includes instantaneous deflection data under vehicle load, structural dynamic strain data, wind vibration deformation data, and instantaneous temperature deformation data, etc.; environmental and load measured data includes real-time temperature, temperature gradient, and traffic load distribution data, etc.; point-line-surface full-domain true deformation distribution data includes extreme deformation data of key nodes, linear continuous deformation data, and overall deformation characteristic data of surface region; residuals are the residuals of stiffness parameters, boundary constraint parameters, and steel-concrete interface slip parameters; residuals: taken from the simulated deformation value of the finite element model measurement point and the measured deformation value at the same location of the bridge, according to... Calculate the absolute residual of a single measuring point; spatial interpolation fitting: using finite discrete measuring point data, calculate the continuous deformation data of the blank area between measuring points; the global discrete data is the data of each independent measuring point obtained by point-line-surface three-dimensional monitoring, mainly covering three categories: first, the single-point deformation data of key nodes such as pier top, mid-span, support, and steel-concrete composite section, including deflection, settlement, rotation angle, interface slip and strain; second, the deformation and strain data of linear sensing points deployed along the main beam and pier body; third, the displacement data of scanning feature points in areas such as bridge deck and pier facade, and also include the working condition parameters such as temperature and traffic load corresponding to each measuring point.

[0034] The bridge global analysis module is used to adjust the early warning threshold for steel-concrete composite bridges based on the global deformation field, predict the deformation trend risk of steel-concrete composite bridges, identify the types of defects in the deformation of steel-concrete composite bridges, and analyze the maintenance methods for the deformation of steel-concrete composite bridges.

[0035] By adjusting the early warning thresholds for steel-concrete composite bridges, the deformation trend risks of steel-concrete composite bridges can be predicted, the types of defects in steel-concrete composite bridges can be identified, and the maintenance methods for steel-concrete composite bridges can be analyzed. This achieves a comprehensive analysis of defect identification, risk assessment, and maintenance guidance, fully ensuring the safety of bridge application and improving the service life of steel-concrete composite bridges.

[0036] As an optional implementation method, the method of adjusting the early warning threshold corresponding to the steel-concrete composite bridge and predicting the deformation trend risk of the steel-concrete composite bridge is as follows: extract the normal deformation range and historical deformation distribution characteristics of each region from the global deformation field, and combine them with the characteristics of steel-concrete structural materials and specification limits to comprehensively divide the basic threshold range. Then, the basic threshold range is corrected based on the real-time working conditions. When the real-time working conditions are any of the following conditions: high temperature, heavy load, or strong wind, the threshold range is increased. When the real-time working conditions are long-term no-load or stable environmental conditions, the threshold range is reduced. This constitutes a dynamic early warning threshold system for each region and each working condition.

[0037] Time-series data corresponding to the global deformation field are extracted, and time-series prediction algorithms are used as a benchmark to mine deformation evolution patterns, deduce short-term instantaneous deformation peaks and long-term gradual deformation development trends, and obtain deformation result data. The deformation result data corresponding to the steel-concrete composite bridge is compared with the preset reference deformation threshold intervals corresponding to each risk level. If the deformation result data corresponding to the steel-concrete composite bridge is not included in the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has no deformation. If the deformation result data corresponding to the steel-concrete composite bridge is included in the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has low-risk deformation. If the deformation result data corresponding to the steel-concrete composite bridge exceeds the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has high-risk deformation.

[0038] It should be noted that the deformation data includes predicted deformation values ​​and deformation rates. Professional bridge maintenance personnel set reference deformation threshold ranges to identify whether steel-concrete composite bridges have deformation and what risk development trend the corresponding deformation represents, thus facilitating more accurate risk maintenance.

[0039] As an optional implementation, the identification process for the type of defects corresponding to the deformation of the steel-concrete composite bridge is as follows: Based on the global deformation field corresponding to the steel-concrete composite bridge, the feature set of the deformation corresponding to the steel-concrete composite bridge is extracted. The feature set of the deformation corresponding to the steel-concrete composite bridge is compared with the reference development feature set corresponding to each defect type of the steel-concrete composite bridge stored in the database. If the feature set of the deformation corresponding to the steel-concrete composite bridge is included in the reference development feature set corresponding to a certain defect type of the steel-concrete composite bridge stored in the database, then that defect type is regarded as the defect that will occur when the steel-concrete composite bridge undergoes deformation.

[0040] It should be noted that the feature set includes deformation location, deformation amplitude, deformation rate, curve trend, and spatial distribution pattern. For example, if the deformation is concentrated in the steel-concrete joint section and manifests as continuous micro-slippage, widening of interlayer gaps, and abnormal local rotation angles, it is judged as steel-concrete interface voiding and slippage-type defects. If the pier area shows unidirectional or regional continuous settlement and tilting, it is judged as uneven foundation settlement and pier body tilting defects. If the main beam shows continuous downward deflection and a steadily increasing deformation rate, it is judged as main beam stiffness reduction and fatigue damage defects. If the deformation changes periodically with temperature and has no continuous accumulation trend, it is judged as normal temperature-induced elastic deformation.

[0041] As an optional implementation method, the maintenance method for analyzing the deformation of the steel-concrete composite bridge is specifically analyzed as follows: If the defect of the steel-concrete composite bridge is interface slippage or interlayer void defect, then grouting reinforcement of the corresponding interface of the bridge is carried out, and the connecting parts are tightened and the sealing layer is repaired. If the defect of the steel-concrete composite bridge is uneven settlement of the pier or pier body tilt, then foundation re-measurement, bearing leveling and pier body reinforcement maintenance operations are carried out. If the defect of the steel-concrete composite bridge is fatigue or local cracking of the main beam, then crack repair and component reinforcement maintenance operations are performed.

[0042] The database is used to store global data, local micro-deformation, interface slip, abrupt strain characteristics, beam deformation trend, stiffness abrupt change location, deformation transmission path, long-term gradual component, instantaneous fluctuation component, basic mechanical performance parameters, measured data, time series data, and feature set.

[0043] The early warning terminal is used to provide early warnings when there is deformation in a steel-concrete composite bridge.

[0044] This invention, through comprehensive monitoring of steel-concrete composite bridges, collects and decomposes the comprehensive data to construct a collaborative deformation coupling model for the steel-concrete composite bridge. Simultaneously, it combines measured data to form a comprehensive deformation field for the steel-concrete composite bridge, predicts the deformation risk, identifies the types of bridge defects, and implements corresponding maintenance. This efficiently ensures the application safety of steel-concrete composite bridges, overcoming the shortcomings of current single-area monitoring of steel-concrete composite bridges. It achieves comprehensive, all-area monitoring of bridges, reduces the probability of various types of bridge defects and their deterioration rate, and enables timely and effective bridge safety measures for prevention and maintenance, further extending the service life of steel-concrete composite bridges.

[0045] The examples described in this invention are not limited to the specific embodiments listed above. The examples are merely illustrative to facilitate understanding of the invention and do not constitute a limitation on the scope of protection of this invention. Any modifications, equivalent substitutions, etc., made within the spirit and principles of this invention should be included within the scope of protection.

[0046] The above description is merely an example and illustration of the concept of the present invention. Those skilled in the art can make various modifications or additions to the specific embodiments described or use similar methods to replace them, as long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the protection scope of the present invention.

Claims

1. An early warning system for full-range deformation monitoring of steel-concrete composite bridges, characterized in that, Includes the following modules: The bridge full-domain monitoring module is used to construct full-domain monitoring for steel-concrete composite bridges, collect full-domain data, and preprocess the full-domain data. The dynamic and static deformation decoupling module is used to decompose the preprocessed global data and construct the collaborative deformation coupling model corresponding to the steel-concrete composite bridge. At the same time, it combines the measured data to form the global deformation field corresponding to the steel-concrete composite bridge. The bridge global analysis module is used to adjust the early warning threshold of steel-concrete composite bridges based on the global deformation field of steel-concrete composite bridges, predict the deformation trend risk of steel-concrete composite bridges, identify the types of defects in the deformation of steel-concrete composite bridges, and analyze the maintenance methods for the deformation of steel-concrete composite bridges. The early warning terminal is used to provide early warnings when there is deformation in a steel-concrete composite bridge.

2. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 1, characterized in that, The comprehensive monitoring system for the steel-concrete composite bridge is constructed as follows: First, a mechanical analysis was conducted on the stress conditions, structural control sections, and weak components of the steel-concrete composite bridge to obtain the key nodes corresponding to each component. Point monitoring was used to capture local micro-deformation, interface slip, and abrupt strain characteristics. Second, based on the mechanical law of continuous deformation distribution of each long linear component, a linear continuous monitoring link was deployed along the longitudinal direction of the bridge to perform linear monitoring of beam deformation trend, stiffness abrupt change location, and deformation transmission path. Finally, based on the overall deformation characteristics of each surface structure, a surface monitoring system combining multi-point networking and surface scanning technology was established to perform regional defect monitoring, thus comprehensively constructing a point-line-surface full-domain monitoring system for the steel-concrete composite bridge.

3. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 2, characterized in that, The global data includes structural deformation data, environmental parameter data, load condition data, and equipment status data. The collected global data is then subjected to noise reduction and impurity removal, abnormal data removal, zone temperature compensation, time alignment, and format normalization to complete the corresponding data preprocessing.

4. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 1, characterized in that, The preprocessed global data is then decomposed, and the specific decomposition process is as follows: Based on the deformation evolution law of steel-concrete composite bridges, the preprocessed global data is divided into long-term slow-varying components and instantaneous fluctuation components. According to the time-series trend fitting and low-frequency filtering algorithm, the static permanent deterioration deformation caused by concrete shrinkage and creep, foundation settlement and structural aging is extracted. At the same time, the dynamic elastic deformation caused by vehicle load, wind vibration and instantaneous temperature fluctuation is obtained through high-frequency signal separation algorithm. With these two deformation features, the global data is completely decomposed.

5. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 4, characterized in that, The specific construction process of the cooperative deformation coupling model corresponding to the steel-concrete composite bridge is as follows: The basic mechanical performance parameters of steel-concrete bridges are extracted from the database. Based on these parameters, the mechanical differences and deformation response laws among the constituent materials of the steel-concrete bridges are obtained. Then, the structural connection relationships of the steel-concrete composite bridges are combined to obtain the model boundary conditions and contact relationships, forming coupling rules. Long-term slow-varying components and instantaneous fluctuation components are then imported, and the collaborative deformation coupling model of the steel-concrete composite bridges is constructed by iterative fitting based on the parameters.

6. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 5, characterized in that, The global deformation field corresponding to the steel-concrete composite bridge is constructed by combining measured data, and the specific construction process is as follows: Using the finite element model corresponding to the steel-concrete composite bridge as the benchmark model, and the constraint conditions corresponding to the cooperative deformation coupling model as the constraint conditions of the benchmark model, the measured data are then imported. The difference between the simulated deformation value and the actual monitored deformation value of the bridge is compared, the residual is calculated, and the parameters of the finite element model are corrected in reverse through an iterative optimization algorithm. When the simulation calculation result is consistent with the preset result, the dynamic calibration of the finite element benchmark model is completed. Based on the calibrated finite element benchmark model, spatial interpolation and fitting calculations are performed in combination with the discrete data of the whole domain to deduce the deformation state of the entire area of ​​the bridge, thus forming the whole domain deformation field corresponding to the steel-concrete composite bridge.

7. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 6, characterized in that, The adjustment of the early warning threshold for steel-concrete composite bridges and the prediction of deformation trend risks for these bridges are described in the following process: Extract the normal deformation range and historical deformation distribution characteristics of each region from the global deformation field, and combine them with the characteristics of steel-concrete structure materials and standard limits to comprehensively divide the basic threshold range. Then, the basic threshold range is corrected based on the real-time working conditions. When the real-time working conditions are any of the following conditions: high temperature, heavy load or strong wind, the threshold range is increased. When the real-time working conditions are long-term no load or stable environmental conditions, the threshold range is reduced. This constitutes a dynamic early warning threshold system for each region and each working condition. Time-series data corresponding to the global deformation field are extracted, and time-series prediction algorithms are used as a benchmark to mine deformation evolution patterns, deduce short-term instantaneous deformation peaks and long-term gradual deformation development trends, and obtain deformation result data. The deformation result data corresponding to the steel-concrete composite bridge is compared with the preset reference deformation threshold intervals corresponding to each risk level. If the deformation result data corresponding to the steel-concrete composite bridge is not included in the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has no deformation. If the deformation result data corresponding to the steel-concrete composite bridge is included in the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has low-risk deformation. If the deformation result data corresponding to the steel-concrete composite bridge exceeds the preset reference deformation threshold interval corresponding to a certain risk level, it is determined that the steel-concrete composite bridge has high-risk deformation.

8. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 7, characterized in that, The specific identification process for the deformation-related defects of steel-concrete composite bridges is as follows: Based on the global deformation field corresponding to the steel-concrete composite bridge, the feature set of the deformation corresponding to the steel-concrete composite bridge is extracted. The feature set of the deformation corresponding to the steel-concrete composite bridge is compared with the reference development feature set corresponding to each type of defect of the steel-concrete composite bridge stored in the database. If the feature set of the deformation corresponding to the steel-concrete composite bridge is included in the reference development feature set corresponding to a certain type of defect of the steel-concrete composite bridge stored in the database, then that type of defect is regarded as the defect that will occur when the steel-concrete composite bridge undergoes deformation.

9. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 8, characterized in that, The analysis of the maintenance methods for the deformation of the steel-concrete composite bridge is as follows: If the defects of the steel-concrete composite bridge are interface slippage or interlayer voids in the steel-concrete joint section, then grouting reinforcement of the corresponding interface of the bridge should be carried out, and the connecting parts should be tightened and the sealing layer repaired. If the defects of the steel-concrete composite bridge are uneven settlement of the piers or pier tilt, then foundation re-survey, bearing leveling and pier reinforcement maintenance operations should be carried out. If the defects of the steel-concrete composite bridge are fatigue or local cracking of the main beam, then crack repair and component reinforcement maintenance operations should be carried out.

10. The early warning system for full-range deformation monitoring of steel-concrete composite bridges according to claim 1, characterized in that, It also includes a database for storing global data, local micro-deformation, interface slip, abrupt strain characteristics, beam deformation trends, stiffness abrupt change locations, deformation transmission paths, long-term gradual components, instantaneous fluctuation components, basic mechanical performance parameters, measured data, time series data, and feature sets.

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