Method and system for dynamically verifying overall service state of stay cable

Abstract

The present application relates to the technical field of bridge structure health monitoring and intelligent maintenance, and specifically discloses a method and system for dynamically verifying the overall service state of a stay cable. The present application initiates verification through a three-level nested disturbance triggering mechanism, performs spatial-time-energy three-dimensional clustering on the acoustic emission or micro-vibration signals collected by the sensor, identifies and confirms the progressive damage area, establishes a real-time countermodel of dynamic resistance and environmental equivalent osmotic pressure, executes two-layer safety criteria and issues a graded early warning, automatically matches a composite repair or minimally invasive intervention scheme according to the warning level, and realizes iterative optimization through post-repair monitoring, forming an intelligent management of the whole process from perception, diagnosis, evaluation to repair. The present application effectively improves the intelligent level of stay cable operation and maintenance and the whole life cycle safety guarantee capability of the bridge.

Description

Technical Field

[0001] This invention relates to the field of bridge structural health monitoring and intelligent maintenance technology, specifically to a method and system for dynamic verification of the overall service status of cable stays. Background Technology

[0002] As the core load-bearing component of modern long-span cable-stayed bridges and suspension bridges, the safety and durability of stay cables directly affect the overall service performance and lifespan of the bridge structure. The cables are constantly exposed to complex natural and operational environments, continuously subjected to wind-induced vibration, rain-induced vibration, fatigue stress caused by vehicle loads, alternating diurnal and seasonal temperature cycles, and erosion from rain, fog, salt, and other corrosive media. The coupling effect of multiple physical field factors easily induces fatigue fracture of the high-strength steel wires in the stay cables, aging and cracking of the polyethylene sheath, internal corrosion, and damage to the anchoring system. These defects are characterized by their high degree of concealment, cumulative development, and sudden destructiveness, making them a major source of safety risks during the bridge's operational period.

[0003] Traditional cable-stayed bridge health assessments primarily rely on periodic manual inspections, visual checks, or automated sensor alarms based on fixed thresholds. Manual inspections suffer from inherent limitations, including low efficiency, high subjectivity, and inability to detect internal damage. Existing automated monitoring systems mostly focus on monitoring single physical quantities, and their early warning mechanisms are often based on simple threshold comparisons, lacking consideration of the synergistic effects of multi-source disturbances and failing to distinguish between environmental noise and early damage signals, leading to high false alarm and false negative rates. Furthermore, existing methods typically only provide a binary judgment of whether something is abnormal, failing to accurately diagnose the location, type, severity, and evolution trend of damage, and thus lacking the ability to form a comprehensive management system for assessment, decision-making, and repair, resulting in a lack of foresight and precision in maintenance decisions. Summary of the Invention

[0004] This invention provides a method and system for dynamic verification of the overall service status of cable-stayed bridges, aiming to solve problems in existing technologies such as insensitivity to early damage identification, static and isolated safety assessment, and crude and passive repair strategies. By integrating advanced sensing technology, big data analysis, multiphysics modeling, and intelligent decision-making theory, it achieves a transformation from passive response to proactive intervention, from single-parameter monitoring to multi-dimensional comprehensive diagnosis, and from periodic inspections to predictive maintenance, thereby effectively improving the intelligent level of cable-stayed bridge operation and maintenance and the safety assurance capability of bridges throughout their entire life cycle.

[0005] The specific technical solution of this application is as follows:

[0006] According to one aspect of this application, a method for dynamic verification of the overall service status of a stay cable is provided, comprising:

[0007] The system monitors the multi-source environmental disturbances experienced by the stay cables during service and determines whether to trigger the verification process based on a three-level nested judgment mechanism. If no verification is triggered after the three-level nested judgment, a disturbance omission compensation loop is executed.

[0008] In response to the trigger verification, acoustic emission or micro-vibration signal data collected by a distributed sensor network inside the cable sheath are acquired; three-dimensional clustering analysis of the signal data in spatial, temporal and energy dimensions is performed to identify and locate progressive damage areas;

[0009] For the identified progressive damage areas, dynamic resistance models and equivalent osmotic pressure models are established respectively; by comparing dynamic resistance and equivalent osmotic pressure in real time and analyzing the decay trend of dynamic resistance, graded safety criteria are implemented to issue early warnings at different levels;

[0010] Based on the level of the warning, the corresponding repair plan is automatically matched and executed; for the first-level warning, a composite repair plan including active leak prevention and structural reinforcement is executed, and for the second-level warning, an active intervention repair plan including minimally invasive repair intervention and monitoring upgrade is executed.

[0011] After repair, the response of the progressive damage area under environmental disturbances is continuously monitored; if the response triggers verification again and is identified as a progressive damage area, the system re-enters the safety assessment and graded repair steps to carry out repair iterations until the system returns to a stable state.

[0012] As a further option of the method of the present invention, the three-level nested judgment mechanism includes:

[0013] The first level of judgment, namely the screening of a single over-limit event: traverse the stream of disturbance events within the time window. If the intensity value of any standardized disturbance event exceeds the preset high-intensity event threshold, it is determined that the first triggering condition is met, and the verification process is immediately triggered.

[0014] The second level of judgment is the screening of cumulative events within the rolling time window: if the first level of judgment is not triggered, the cumulative number of disturbance events with intensity values ​​within the medium intensity threshold range within the preset length of the rolling time window is counted; if the cumulative number reaches or exceeds the preset cumulative event count threshold, the second triggering condition is met, and the verification process is triggered.

[0015] The third level of judgment, namely multi-parameter coupling event screening: If the second level of judgment is still not triggered, then within the preset coupling judgment time window, it is checked whether the following three conditions are met simultaneously: there is a temperature change event where the temperature change exceeds the temperature change threshold, there is an event where the concentration change of the corrosive medium exceeds the concentration rise threshold, and there is an event where the low-frequency vibration intensity value exceeds the vibration intensity threshold; if the three conditions are met simultaneously within the preset coupling judgment time window, then it is determined that the third triggering condition is met, and the verification process is triggered.

[0016] As a further option of the method of the present invention, the execution of the disturbance omission compensation loop includes:

[0017] At least some of the strength thresholds used in the three-level nested judgment will be temporarily lowered by a preset ratio;

[0018] Use the lowered temporary threshold to re-execute the three-level nested judgment on the cached perturbation event data;

[0019] If verification is triggered after re-evaluation, the subsequent process is activated; if it is not triggered, the steps of downgrading and re-evaluation are repeated until the preset maximum number of loops is reached.

[0020] As a further option of the method of the present invention, performing three-dimensional cluster analysis on the signal data to identify progressive damage areas includes:

[0021] Each signal event is mapped to a three-dimensional feature space consisting of normalized energy, spatial location coordinates, and relative time;

[0022] Density clustering algorithm is used to cluster three-dimensional feature points and select candidate signal clusters with average energy exceeding the energy threshold;

[0023] Calculate trend indicators for each candidate signal cluster : ;in, The number of events within the cluster. The time interval between adjacent events. The maximum allowed event interval threshold. and For the first and Normalized energy of an event For symbolic functions, For indicator functions;

[0024] If the trend indicator is greater than the preset trend threshold, the area corresponding to the cluster is determined to be a progressive damage area.

[0025] As a further option of the method of the present invention, performing three-dimensional cluster analysis on the signal data to identify progressive damage areas further includes:

[0026] For candidate signal clusters that have not reached the trend threshold, extend the signal acquisition time window and obtain the corresponding environmental penetration parameters;

[0027] By introducing environmental permeability parameters as weighting factors, the trend indicators are recalculated with weighting.

[0028] If the recalculated trend indicators meet the conditions, it is determined to be a progressive damage area; otherwise, the extended acquisition and weighted assessment are repeated before the maximum number of cycles is reached.

[0029] As a further option of the method of the present invention, the dynamic resistance model is: The following three resistance components are weighted and combined to obtain the following:

[0030] Residual resistance of materials calculated based on material aging state Interfacial residual resistance calculated based on interfacial bond strength residual rate and the structural constraint resistance calculated based on the location constraint coefficient of the damage zone. ;in, The sum of the weighting coefficients of each resistance component is 1;

[0031] The environmental equivalent osmotic pressure model is as follows: ,in, Rainfall intensity, Salt spray concentration, For wind speed, Tidal level factor, is a coefficient.

[0032] As a further option of the method of the present invention, the execution of the hierarchical security criterion includes:

[0033] The first-level warning criterion is to calculate the instantaneous resistance ratio between the equivalent osmotic pressure of the environment and the dynamic resistance. If the resistance ratio reaches or exceeds 90%, a first-level warning is issued.

[0034] The second-level warning criterion is to calculate the current attenuation rate of dynamic resistance. If the current attenuation rate exceeds twice the historical baseline attenuation rate, a second-level warning will be issued.

[0035] As a further option of the method of the present invention, the composite repair scheme for the first-level early warning includes:

[0036] Active leak prevention: Locate and drill holes in the damaged area, establish a local vacuum negative pressure environment, and then inject sealant into the damaged area.

[0037] Structural reinforcement: Flexible composite material is bonded to the surface of the damaged area to form circumferential reinforcement, and a flow guide is installed upstream of it to change the flow direction of the external medium;

[0038] The composite repair scheme for the secondary early warning includes:

[0039] Minimally invasive repair intervention: Micropores are drilled in the damaged area, and repair adhesive is injected using capillary action;

[0040] Implantable monitoring upgrade: After the repair is completed, a micro-sensor is implanted inside the sheath and connected to the existing distributed sensor network to establish a post-repair monitoring baseline.

[0041] As a further option of the method of the present invention, the repair iteration includes:

[0042] Initiate a special monitoring plan for the original damaged area, increase the frequency of data collection and analysis during the preset observation period, and focus on evaluating the response of the original damaged area under subsequent environmental disturbances;

[0043] If the response of the original damaged area triggers verification again and is identified as a progressive damaged area, it will re-enter the safety assessment and graded repair steps with new data for repair iteration.

[0044] If the damaged area remains stable within a sufficiently long monitoring period after the repair iteration, the system is determined to have returned to a stable state; for cases with repeated recurrence, a detailed analysis report is generated and an expert consultation mechanism is triggered.

[0045] Another aspect of this application provides a dynamic verification system for the overall service status of a cable-stayed bridge, the system comprising:

[0046] The multi-source disturbance monitoring and trigger judgment module is used to monitor the multi-source environmental disturbances experienced by the cable stays during service, and decides whether to trigger the verification process based on a three-level nested judgment mechanism; if no verification is triggered after the three-level nested judgment, a disturbance omission compensation loop is executed.

[0047] The distributed signal acquisition and damage identification module is used to acquire acoustic emission or micro-vibration signal data collected by the distributed sensor network deployed in the cable sheath in response to the verification trigger signal issued by the trigger judgment module, and to perform three-dimensional cluster analysis of the signal data in spatial, temporal and energy dimensions to identify and locate progressive damage areas.

[0048] The dynamic safety assessment and early warning module is used to establish a dynamic resistance model reflecting the structural health status and an equivalent osmotic pressure model that quantifies the environmental load intensity for each progressive damage area identified by the damage identification module. By comparing the dynamic resistance and equivalent osmotic pressure in real time and analyzing the attenuation trend of the dynamic resistance, the module executes graded safety criteria to issue early warnings at different levels.

[0049] The graded repair strategy execution module is used to automatically match and drive the execution of the corresponding repair plan according to the warning level issued by the warning module. Specifically, for the first-level warning, a composite repair plan including active leak prevention and structural reinforcement is executed; for the second-level warning, an active intervention repair plan including minimally invasive repair intervention and monitoring upgrade is executed.

[0050] The repair iteration and closed-loop control module is used to continuously monitor the response of the progressive damage area under environmental disturbances after the repair is completed. If the response triggers verification again and is identified as a progressive damage area, the control system re-enters the dynamic safety assessment and early warning module and the graded repair strategy execution module to carry out repair iteration until the system returns to a stable state.

[0051] The beneficial effects of this application are as follows:

[0052] At the monitoring and decision-making level, this method breaks through the limitations of traditional threshold alarms. Through a three-level nested intelligent triggering and omission compensation mechanism, it realizes the transformation from passive response to active screening, significantly reducing false alarm and false alarm rates while optimizing the allocation of computing resources.

[0053] In terms of damage diagnosis and safety assessment, this invention represents a leap from signal monitoring to precise condition diagnosis. By fusing and modeling multi-source heterogeneous data, early warning issuance is based on accurate adversarial ratios and attenuation dynamics, significantly improving the objectivity and foresight of the assessment.

[0054] At the maintenance execution level, this invention constructs an automated management system for the evaluation process. The system can automatically match and drive targeted repair processes based on quantitative early warning levels, and ensure lasting effects through an iterative verification mechanism. This upgrades discrete maintenance actions into a continuously optimized adaptive process, fundamentally improving the accuracy, economy, and long-term reliability of maintenance. Attached Figure Description

[0055] Figure 1 A schematic diagram of the overall dynamic verification method for the service status of cable stays;

[0056] Figure 2 S100 flowchart of the dynamic verification method for the overall service status of cable stays;

[0057] Figure 3 S200 flowchart for dynamic verification method of overall service status of cable stays;

[0058] Figure 4 S300 flowchart for dynamic verification method of overall service status of cable-stayed bridge;

[0059] Figure 5 S400 flowchart for dynamic verification method of overall service status of cable stays;

[0060] Figure 6 S500 flowchart for dynamic verification method of overall service status of cable stays. Detailed Implementation

[0061] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0062] As the core load-bearing component of long-span bridges, cable-stayed cables operate under complex natural and traffic loads for extended periods. The coupled effect of environmental disturbances and the degradation of cable material properties can induce damage such as internal wire corrosion, fatigue microcracks, or sheath seal failure. Traditional monitoring methods rely on threshold alarms and periodic inspections, making it difficult to achieve closed-loop intelligent management from disturbance perception to precise damage diagnosis and tiered intervention. Existing technologies lack a systematic approach capable of intelligently triggering multi-source disturbances, accurately identifying actual damage, dynamically assessing safety status, and automatically matching repair strategies.

[0063] The theoretical foundation of this invention is built upon three pillars: multi-source disturbance fusion decision theory, signal spatiotemporal energy clustering analysis theory, and dynamic resistance-osmotic pressure countermeasure assessment theory. By constructing a three-level nested disturbance triggering mechanism, implementing multi-dimensional clustering and confirmation of damage signals, and designing a graded repair strategy based on real-time safety assessment, adaptive verification and proactive maintenance of the service status of the cable-stayed bridge are ultimately achieved.

[0064] The definitions of the core variables and the derivation of the formulas are as follows:

[0065] 1. Environmental disturbance event: defined at time [time]. The disturbance observation is ,in, For observation type identification, For the observed values, For quality identification. Within the time window. Internal structure data flow Transform it into a standardized event. ,in, The timestamp of the event. For event type, This represents the normalized intensity.

[0066] 2. Damage signal events: Signal events acquired by a distributed sensor network are defined as follows: ,in For the sensor position coordinates, The signal energy amplitude, The timestamp of the event. This represents the signal's dominant frequency characteristic. (In the window) Internal signal flow .

[0067] 3. Three-level nested trigger decision function:

[0068] First-level judgment That is, a single instance of exceeding the limit: ,in, This is an indicator function; it takes the value 1 when the condition inside the parentheses is true, and 0 otherwise. For standardized perturbation events, In the time window Internal disturbance event flow, For the event The intensity value, This represents the threshold for the intensity of events exceeding the limit.

[0069] Second-level judgment That is, cumulative events: ,in, The length of the scrolling time window. This is the lower limit of the threshold for moderate intensity events. , This is a preset threshold for the number of cumulative events.

[0070] Third-level judgment Coupled events: ,in, The change in temperature The threshold for sudden temperature change. This represents the change in the concentration of the corrosive medium. The threshold for the increase in corrosive medium concentration. This represents the low-frequency vibration intensity value. The threshold for low-frequency vibration intensity. For logical AND operator.

[0071] Overall trigger judgment: If not triggered, the omission compensation loop will be started.

[0072] 4. Three-dimensional clustering and trend indicators of signals: This involves clustering signal events... Mapping to feature points ,in, For normalized energy, Spatial location coordinates, For relative time. Candidate clusters are obtained using a density clustering algorithm. Define candidate cluster trend indicators. To evaluate the temporal evolution of the signal, the calculation formula is as follows: ,in The number of events within the cluster. The time interval between adjacent events. The maximum allowed event interval threshold. and For the first and The normalized energy of an event. If If so, it is determined to have a progressive trend.

[0073] 5. Dynamic resistance-equivalent osmotic pressure countermeasure model:

[0074] Dynamic resistance Considering material aging, interface strength, and structural constraints, ,in This is a function of the residual strength of the material. For the residual strength of the interface, For structural constraint factors, The weights are 1 and the sum is 1.

[0075] Equivalent osmotic pressure : Integrating environmental loads, ,in, Rainfall intensity, Salt spray concentration, For wind speed, Tidal level factor, is a coefficient.

[0076] Safety criteria:

[0077] 1. Criteria for Level 1 Early Warning: .

[0078] 2. Criteria for Level II Early Warning: This means that the rate of resistance decay exceeds twice the historical baseline rate.

[0079] The above theoretical framework provides a solid mathematical and logical foundation for this invention, ensuring the systematic nature, accuracy, and reliability of the entire process from multi-source disturbance perception, intelligent damage identification, dynamic safety assessment to graded smooth repair.

[0080] The specific embodiments of the present invention will be described in detail below.

[0081] Example 1: Please refer to Figure 1 The diagram illustrates the overall flowchart of a dynamic verification method for cable-stayed bridges provided by an embodiment of the present invention. The method includes:

[0082] S100: Based on the multi-source environmental disturbances experienced by the cable stays during service, a three-level nested judgment mechanism is established to determine whether to activate the subsequent verification process; if not triggered, a disturbance omission compensation loop is executed.

[0083] S200: In response to the signal that triggers verification, it performs spatial-temporal-energy three-dimensional clustering analysis on acoustic emission or micro-vibration energy data collected by the distributed sensor network to identify the true damage response and confirm the progressive damage area by observing the extended sub-cycle.

[0084] S300: For progressive damage areas, establish a real-time assessment model of dynamic sealing resistance and equivalent environmental osmotic pressure, and based on this model, execute a three-layer nested safety criterion to issue a first-level or second-level early warning.

[0085] S400: In response to Level 1 warning, a composite repair solution of active leak prevention and structural reinforcement is adopted; in response to Level 2 warning, an active intervention repair solution of minimally invasive repair intervention and implantable monitoring upgrade is adopted.

[0086] S500: Based on real-time monitoring data after repair, evaluate the response of the original damaged area under environmental disturbances; if the response triggers verification again and identifies a progressive damage area, start the corresponding level of repair iteration until the system returns to a stable state.

[0087] The specific plan is as follows:

[0088] Please refer to Figure 2 , Figure 2 A detailed flowchart of stage S100 in an exemplary embodiment of this application is shown, which includes stages S110 to S130.

[0089] The function of the S100 stage is to determine whether to activate subsequent computationally intensive in-depth data analysis and verification processes based on the various environmental and operational disturbances experienced by the cable stays during their service life, through a structured, nested three-level judgment logic, thereby achieving the optimal balance between sensitivity and operational efficiency of the monitoring system.

[0090] S110: In the implementation steps, various environmental monitoring sensors are deployed at key locations in the cable-stayed system. Key locations include, but are not limited to: the middle of the cable surface or every 1 / 4 of the way, the cable guide outlet, near the main girder anchorage area, and the bridge deck weather station.

[0091] In one possible implementation of this embodiment, the content to be collected and the sensor type include:

[0092] Three-dimensional accelerometer: Collects the vibration acceleration of the cable body for analysis of vibration intensity and frequency.

[0093] Temperature and humidity sensors: collect temperature and relative humidity data of the cable surface or the environment near the cable.

[0094] Salt spray deposition rate monitor: collects the amount of salt spray deposition within a specific time period.

[0095] Rain gauge and anemometer: Collects data on rainfall intensity and wind speed and direction.

[0096] Video monitoring: to assist in observing conditions such as ice formations and rain lines on the cable surface.

[0097] Specifically, based on the collected raw data, standardized disturbance events are generated according to preset rules. In one possible implementation of this embodiment, the preset rules include:

[0098] For vibration data, a mechanical excitation event is generated when the vibration acceleration amplitude exceeds a threshold, or when a specific low-frequency energy exceeds the background value by a certain multiple. It is positively correlated with the extent of exceeding the limit.

[0099] For temperature data, calculate the rate of temperature change per unit time. When the rate of temperature change exceeds a threshold, a sudden temperature change event is generated, the intensity of which is proportional to the rate of temperature change.

[0100] For salt spray and rainfall data, when the instantaneous value of salt spray deposition rate exceeds the threshold, or the rainfall intensity exceeds the threshold, a corrosive medium rise or a heavy rainfall event is generated.

[0101] S120: In the implementation steps, the central data processing unit continuously receives and caches the most recent time window. The event flow within the system. For each newly arriving event or at a fixed period, a three-level nested trigger judgment is performed.

[0102] In one possible implementation of this embodiment, the execution of the three-level nested trigger judgment includes:

[0103] Level 1 Judgment—Single Exceedance Event Screening:

[0104] Traversing the time window All disturbance events within. If any event exists... The event type belongs to mechanical or environmental stimulus, and the intensity is... If the first-level judgment is true, the verification process is immediately triggered, and subsequent judgments are skipped.

[0105] Second-level judgment—screening of cumulative events within a rolling time window:

[0106] If the first-level judgment fails, the second-level judgment is initiated. A scrolling time window is set. Statistics in recent times The number of moderate-intensity disturbances that occurred within a given time period. Moderate-intensity events are defined as events whose intensity meets the following criteria: The events, among which, This is a medium-intensity threshold. If the cumulative number of events reaches or exceeds a preset number... If the second-level judgment is true, the verification process is triggered.

[0107] Third-level judgment—screening of multi-parameter coupled events:

[0108] If the second-level judgment is still invalid, the third-level judgment is initiated. This judgment focuses on whether the sudden temperature change, the increase in the concentration of the corrosive medium, and the low-frequency vibration occur synchronously within a similar time period, forming a coupling effect. The specific logic is: within a relatively short recent time window... Inside, check if the following three conditions are met simultaneously:

[0109] 1. A sudden temperature change event exists, and its intensity is... .

[0110] 2. There is an event where the concentration of corrosive media increases, and its intensity... .

[0111] 3. Low-frequency vibration events exist, and their intensity... .

[0112] If all three conditions are met simultaneously, the third-level judgment is valid, triggering the verification process. Threshold The analysis is based on the coupled effects of material thermal stress, corrosion kinetics, and vibration fatigue.

[0113] S130: In the implementation steps, if the verification process is not triggered after the above three-level judgment, the system will not immediately return to sleep, but will start the disturbance omission compensation loop to reduce the potential risk of missed detection.

[0114] In one possible implementation of this embodiment, the execution of the perturbation omission compensation loop includes:

[0115] The system will use the thresholds in the three-level judgment. The ratio is temporarily lowered to create a more sensitive set of temporary thresholds.

[0116] Using this set of temporary thresholds, the three-level nested judgment logic in S120 is re-executed for the environmental disturbance event data cached over a period of time.

[0117] If the verification process is triggered after the re-evaluation, the process proceeds to S200.

[0118] If the error is still not triggered, the system determines the number of compensation loops. In one possible implementation of this embodiment, the compensation loop is executed at most twice. If the maximum number of loops is reached and the error still is not triggered, the system determines that the current environmental disturbance level is insufficient to activate the verification, and thus exits the compensation loop and enters a low-power continuous monitoring state until a new significant disturbance event occurs.

[0119] The final judgment result will be recorded and output. If triggered, the trigger type and related main disturbance event information will also be output as input for subsequent steps.

[0120] Please refer to Figure 3 , Figure 3 A detailed flowchart of stage S200 in an exemplary embodiment of this application is shown, which includes stages S210 to S2640.

[0121] The function of the S200 stage is to wake up and drive the distributed high-sensitivity sensor network deployed inside the cable-stayed bridge in response to the global verification activation signal issued by S100, collect micro-dynamic response data of the structure during disturbance, and use advanced spatial-temporal-energy three-dimensional clustering analysis method to automatically identify, locate and preliminarily characterize the acoustic emission or micro-vibration signals excited by real structural damage from the data ocean containing a large amount of environmental and operational noise.

[0122] S210: In the embodiment step, in response to the verification trigger signal, a command is sent to the distributed sensor network embedded in the cable sheath to switch the sensor from the conventional monitoring mode to the high-resolution acquisition mode.

[0123] In one possible implementation of this embodiment, the high-resolution acquisition mode involves increasing the sampling frequency and lowering the trigger threshold to capture weaker acoustic emission or vibration signals. The acquired raw signals are preprocessed through filtering, noise reduction, and other methods, and then converted into discrete signal events. .in, The event energy is calculated by integrating the square of the signal amplitude. The main frequency is extracted using short-time Fourier transform.

[0124] S220: In the implementation steps, the acquisition window... The set of all signal events generated within. We performed three-dimensional clustering analysis to discover signal clusters that may exhibit spatial clustering and temporal correlation.

[0125] In one possible implementation of this embodiment, the three-dimensional clustering analysis includes:

[0126] Each signal event Mapping to 3D feature points , For normalized energy, Spatial location coordinates, This is a relative time.

[0127] The DBSCAN algorithm is used for the point set. Clustering is performed. In the context of cable-stayed bridge damage detection, the spatial neighborhood radius is set to 1.5-2 times the sensor spacing, the temporal neighborhood radius is set according to the expected interval of damage signal occurrence, and the minimum number of points is set to 3.

[0128] After the algorithm runs, it generates several clusters. For each cluster The spatial center location, time span, and average normalized energy are calculated. Only clusters with an average normalized energy exceeding a preset energy threshold are retained as candidate signal clusters.

[0129] S230: In the implementation steps, for each candidate signal cluster, its temporal evolution behavior within the acquisition time window and relative to the disturbance event is analyzed to determine whether it is characterized as progressive damage.

[0130] In one possible implementation of this embodiment, the performance of time evolution trend assessment includes:

[0131] For candidate signal clusters It sorts the included signal events in ascending order by timestamp. Calculates trend indicators. Trend indicators Taking into account both the continuity of the event and the direction of energy change, the calculation formula is as follows: in, For clusters The number of events within, The maximum time interval for determining whether events occur consecutively. It is a sign function, taking +1 when energy increases and -1 when energy decreases. The value range is [-1, 1].

[0132] If signal cluster satisfy If the system initially determines that the spatial region corresponding to the cluster is a progressive damage area, it records the center location, spatial extent, and related signal characteristics. The process then proceeds directly to S240.

[0133] S240: In the implementation steps, if the candidate signal cluster Not satisfied In other words, if there is spatial clustering but a lack of clear temporal evolution trend, the system will not immediately classify it as noise, but will instead initiate an observation extension sub-loop for further confirmation.

[0134] In one possible implementation of this embodiment, observing the execution of the extended sub-loop includes:

[0135] Set sub-loop counter Maximum number of loops .

[0136] The sensor network is instructed to extend the signal acquisition time window. At the same time, the corresponding environmental permeability parameters within the extended window period are obtained and introduced as additional weighting factors into subsequent analysis.

[0137] Based on the new signal data within the extended window, steps S220 and S230 are re-executed. The trend indicators are then recalculated. When this is the case, the correction formula is used: ,in, The value calculated using the original formula based on the new data. This indicates the weight of environmental permeability parameters under adverse environmental conditions.

[0138] If the reassessment meets the requirements If so, it is determined to be a progressive lesion area, and enters S240. If not, and ,but Repeat the steps of extended sampling, parameter superposition, and re-evaluation. If... If the trend condition is still not met, the system will ultimately determine that the candidate signal cluster is noise, downgrade it, and no longer output it as a damaged area.

[0139] The information on all confirmed progressive damage areas is encapsulated and output as input to the S300.

[0140] Please refer to Figure 4 , Figure 4 A detailed flowchart of stage S300 in an exemplary embodiment of this application is shown, which includes stages S310 to S350.

[0141] The function of the S300 stage is to construct a dynamic resistance model that reflects the current structural health status and resistance to environmental erosion for each progressive damage zone identified and output by S200, as well as an equivalent osmotic pressure model that quantifies the current environmental load intensity. By calculating the resistance ratio between the two in real time and analyzing the resistance decay dynamics, a three-layer nested safety criterion is executed to issue a precise graded safety warning.

[0142] S310: In the implementation steps, for each identified progressive damage area, assess its current overall resistance to external media intrusion and further damage propagation, i.e., dynamic sealing resistance. .

[0143] In one possible implementation of this embodiment, dynamic sealing resistance The calculations include:

[0144] Obtain parameters related to progressive damage zones from structural health monitoring databases or models, including: 1) the service life of the sheath material. ;2) Residual rate of steel wire-sheath interfacial bond strength based on historical testing or model extrapolation 3) The structural constraint coefficient corresponding to the location of the progressive damage zone on the cable. .

[0145] Resistance component calculation:

[0146] Material residual resistance :based on Calculate, where, For the initial sealing resistance, The material aging coefficient.

[0147] Interfacial residual resistance :based on Calculate, where, This represents the initial interfacial bond strength.

[0148] Structural restraint resistance : ,in, To contribute to the maximum possible constraints.

[0149] Weighted summation of the three components: Weighting coefficient The relative importance of different factors on the sealing performance of the current damaged area is determined through expert experience or regression analysis of historical data, and meets the following requirements. .

[0150] S320: In the implementation steps, the environmental load acting on the stay cables, especially at the location of the damage zone, is acquired or predicted in real time and quantified as equivalent seepage pressure. Osmotic pressure attempts to drive material into the damaged interior.

[0151] In one possible implementation of this embodiment, the environmental equivalent osmotic pressure is calculated as follows: ,in, Rainfall intensity, Salt spray concentration, For wind speed, Tidal level factor, is a coefficient.

[0152] S330: In the implementation steps, the calculated dynamic resistance is directly compared with the equivalent osmotic pressure to assess whether the damaged area faces an immediate high risk of invasion.

[0153] In one possible implementation of this embodiment, the execution logic of the first-level criterion is as follows:

[0154] Calculate the real-time adversarial ratio .

[0155] like If the equivalent osmotic pressure reaches or exceeds 90% of the dynamic resistance, the damaged area is deemed to be in a high-risk state, where external media can easily penetrate and accelerate internal corrosion or damage propagation. The system immediately issues a Level 1 warning. A Level 1 warning is the highest level of alert, indicating that immediate remedial measures are required.

[0156] like If the first-level criterion is not triggered, the second-level criterion will be used for judgment.

[0157] S340: In the implementation steps, even if the high-risk intrusion conditions are not currently met, it is necessary to assess whether the performance degradation rate of the damaged area itself is abnormally accelerated.

[0158] In one possible implementation of this embodiment, the execution of the second-level criterion includes:

[0159] From long-term monitoring data, the baseline value of the dynamic resistance decay rate of the progressive damage area during the normal degradation stage was extracted. .

[0160] Based on recent assessments The value is used to calculate the current dynamic resistance decay rate through methods such as linear regression. .

[0161] Compare the current decay rate with the historical baseline rate. If the following conditions are met... If the current decay rate exceeds twice the historical baseline decay rate, the system determines that the performance of the damaged area is deteriorating at an accelerated rate, posing a potential risk. The system issues a Level 2 warning. A Level 2 warning indicates the need for intervention to prevent the situation from worsening, but its urgency is lower than a Level 1 warning.

[0162] If the current decay rate does not exceed twice the historical baseline, the damaged area is determined to be in a relatively stable or slowly degrading state and is currently safe. The system will not issue an alert, allowing the damaged area to recover naturally or remain as it is under monitoring. The process will then end or return to continuous monitoring.

[0163] S350: In the implementation steps, the system packages the safety assessment results, along with detailed assessment data, damage area information, timestamps, etc., into a complete assessment report, outputs it to the maintenance management platform, and triggers corresponding early warning notifications. Simultaneously, all data is stored in the historical database for updating benchmarks and model learning.

[0164] Please refer to Figure 5 It shows a flowchart of step S400 in the exemplary overall dynamic verification method for cable-stayed bridges of this application, which includes steps S410 to S420.

[0165] The function of the S400 stage is to automatically match and drive the execution of differentiated and precise on-site repair operations based on the different levels of early warning signals issued by S300 and the detailed diagnostic reports of the damage area provided by S200.

[0166] S410: In the implementation steps, the first-level warning corresponds to a high-risk state. The repair goal is to quickly stop the leak and immediately strengthen the local structure to prevent the damage from spreading rapidly in harsh environments.

[0167] In one possible implementation of this embodiment, the execution of the composite repair scheme includes two core sub-actions:

[0168] Active leak sealing—vacuum-assisted pressure injection:

[0169] Accurately locate the damaged area on the surface of the cable sheath based on the coordinates of the damaged area. Clean the surface and drill holes to a predetermined depth in the center and perimeter of the damaged area as injection holes and venting / observation holes.

[0170] Connect the injection port and the vent port using a dedicated sealing device, start the vacuum pump, and establish and maintain a certain negative pressure environment in the suspected cavity or crack area inside the damaged area.

[0171] While maintaining a vacuum, a low-viscosity, highly penetrating specialty sealant is injected at controlled pressure using a dispensing pump. The dispensing pressure is set to an upper limit based on the sealant's properties and structural safety requirements.

[0172] After the adhesive is applied, maintain pressure until the adhesive has initially cured. Then remove the device and seal the injection port and vent with sealant.

[0173] Structural reinforcement—flexible composite material bonding and flow guidance:

[0174] The surface of a section of the cable sheath, including the damaged area, was polished and cleaned.

[0175] Cut a flexible composite material, such as carbon fiber reinforced polymer sheet or fabric, to the appropriate size. Use a specialized structural adhesive to firmly bond the composite material to the damaged area, forming a circumferential constraint.

[0176] Miniature deflectors are installed in the damaged area and upstream of the composite material to guide rainwater and wind-driven raindrops away from the repair area.

[0177] S420: In the implementation steps, the secondary warning corresponds to the risk of accelerated degradation. The repair goal is to inhibit degradation in a minimally invasive manner and upgrade the monitoring capability by implanting sensors to achieve more accurate long-term tracking.

[0178] In one possible implementation of this embodiment, the execution of the proactive intervention and repair scheme includes two core sub-actions:

[0179] Minimally invasive repair intervention—capillary injection:

[0180] Use a finer drill bit to drill multiple shallow or angled holes within the damaged area.

[0181] A specialized capillary injection device is used to inject a low-viscosity, high-flow-rate repair adhesive through micropores. The adhesive penetrates through capillary action and slight external pressure.

[0182] Observe the filling effect, and seal the injection hole with a miniature sealing plug after the glue injection is completed.

[0183] Upgraded implantable monitoring:

[0184] Select miniature, durable sensors, such as miniature corrosion sensors or miniature fiber optic strain / temperature sensors. After capillary encapsulation, pre-embed or implant the sensor into key locations within the sheath.

[0185] Integrate the newly implanted sensors into the existing distributed sensor network.

[0186] After the repair is completed, new sensor data is collected to establish a baseline of the repaired health status.

[0187] Please refer to Figure 6 It shows a flowchart of step S500 in the exemplary overall dynamic verification method for cable-stayed bridge of this application, which includes steps S510 to S520.

[0188] The function of the S500 stage is to track and verify the repair effect over a long period of time, and to drive the optimization and iteration of the entire system model using the data accumulated throughout the process.

[0189] S510: In the implementation steps, after the repair is completed, the system starts a special monitoring plan for the original damaged area to continuously evaluate the repair effect and the subsequent behavior of the damaged area.

[0190] In one possible implementation of this embodiment, the execution of post-repair special monitoring includes:

[0191] Based on the repair level and the nature of the damage, set a sufficiently long observation period. During the observation period, increase the frequency of sensor data acquisition and analysis near the original damage area.

[0192] Whenever a new environmental disturbance occurs, the focus is on analyzing signal data near the original damage area and data from newly implanted sensors.

[0193] During the observation period, if no further signals are generated in the original damaged area that are identified as progressive damage by S200, and the data from the newly implanted sensor remains stable within the baseline range, the repair is preliminarily judged to be successful.

[0194] S520: In the implementation steps, if the response of the original damaged area triggers the verification process of S100 again during or after the observation period, and is identified as a progressive damaged area again after analysis of S200, it means that the repair has not completely solved the problem or new damage has occurred.

[0195] In one possible implementation of this embodiment, the execution of the iterative process includes:

[0196] The system immediately carries the new damage signals and environmental data and re-enters the S300 procedure to conduct a safety status assessment.

[0197] Repair and Iteration: Based on the newly released warning level of S300, the system automatically matches and initiates the corresponding repair solution in S400.

[0198] After the repair iteration is completed, the system re-enters S510 to begin a new round of post-repair monitoring and evaluation. This cycle can be repeated until the progressive damage area remains stable over a sufficiently long monitoring period.

[0199] For cases that recur despite repeated repairs, the system will mark them as complex cases, generate detailed analysis reports, and may trigger high-level human expert consultations.

[0200] Example 2: This invention was piloted and verified for two years in the long-term health monitoring system of the cable-stayed bridge of a cross-sea bridge. The main span of the bridge is over 800 meters long, and the marine environment at the bridge site is harsh, with frequent salt spray, typhoons, and heavy rainfall. The pilot project selected eight cable-stayed cables in areas near the bridge towers that are susceptible to wind and rain vibration and salt spray erosion. Each cable was equipped with a system based on... - The OTDR utilizes distributed acoustic sensing fiber optics and discrete temperature and humidity sensors. The central processing unit is deployed in the bridge tower equipment room. The specific configuration adopted during implementation is as follows:

[0201] For environmental monitoring, micro-weather stations were set up in the anchorage area, quarter span, and mid-span of each pilot cable to monitor wind speed, wind direction, rainfall, temperature, and humidity. Salt spray collectors were installed at the cable duct openings. Vibration monitoring utilized the existing accelerometer network.

[0202] The verification trigger parameter is set to: over-limit vibration threshold. Corresponding acceleration 0.3g; moderate intensity threshold 0.1g; rolling time window Hours, cumulative number of times Coupling judgment threshold , For a 50% increase in salt spray deposition rate, The vibration energy in the 0-2Hz frequency band is 5 times the background value.

[0203] In damage identification, the distributed acoustic sensing system uses a sampling rate of 10 kHz and a spatial resolution of 1 meter. The 3D clustering parameters are: spatial neighborhood 2 meters, temporal neighborhood 0.2 seconds, minimum number of points 4, energy threshold 0.1, and trend threshold 0.25. The observation extension sub-loop extends the acquisition time by 5 minutes each time.

[0204] The safety assessment model parameters were calibrated using accelerated aging tests in the laboratory and historical field data. The weights for dynamic resistance calculations were determined by... , , The equivalent osmotic pressure coefficient was preliminarily determined through wind tunnel tests combined with computational fluid dynamics analysis.

[0205] The repair solution material library includes low-viscosity epoxy sealant, flexible carbon fiber cloth, and miniature fiber optic grating sensors.

[0206] During the two-year pilot period, the system successfully and automatically handled several typical events:

[0207] 1. Case Study 1: Damage Confirmation and Early Warning After a Typhoon;

[0208] During a severe typhoon, the system triggered verification of cable B12 based on a single instance of excessive vibration. S200 analysis identified a high-intensity signal cluster 35 meters from the anchorage point, and this signal cluster continued to appear several times per minute even after the typhoon, with trend indicators... It was identified as a progressive damage area. The S300 assessment was conducted during the period of heavy post-typhoon rainfall, and calculations showed... , , confrontation The system issued a Level 1 warning. Maintenance personnel followed the S410 protocol, using vacuum-assisted pressure injection and attaching carbon fiber cloth. After three months of dedicated monitoring following the repair, the signal at that location completely disappeared.

[0209] 2. Case Study 2: Early Degradation Induced by the Cumulative Effects of Salt Fog Season;

[0210] After a week of calm winds and high salt spray, the system triggered verification of cable A07 based on a second-level judgment. S200 identified a signal cluster with moderate energy but significant spatial concentration in the middle of the cable, with an initial trend index of only 0.1. After initiating an extended observation sub-cycle and reassessing the situation with high humidity environmental parameters, the trend index rose to 0.28, confirming it as a progressive damage zone. S300 assessment showed... The initial warning level was not reached, but calculations revealed that the weekly dynamic resistance decay rate at this location was 2.3 times the historical baseline value, prompting the system to issue a Level II warning. Using the S420 solution, capillary injection was performed, and a miniature corrosion sensor was implanted at this point. Subsequent monitoring showed that the corrosion sensor readings remained stable, and no further abnormal signal clusters appeared.

[0211] 3. Case Study 3: Complex Response under Coupling of Sudden Temperature Change and Traffic Load;

[0212] One winter morning, the temperature rose rapidly. The system detected vibrations at specific frequencies caused by heavy traffic during the morning rush hour, while simultaneously monitoring an increase in salt spray concentration due to stronger sea breezes. The system triggered verification based on third-level coupling. Two adjacent candidate signal clusters were identified on cable C03. The cluster with a clear trend was directly confirmed; the other cluster with a weak trend, after two observation extension cycles, remained below the threshold and was downgraded to noise. A second-level warning was issued after assessing the confirmed damage area. During the mid-stage of capillary glue injection migration, the monitoring thread detected a new high-intensity vibration path caused by the passage of an abnormally heavy vehicle, and the system immediately froze the migration. After the brief disturbance disappeared, the system automatically unfroze and continued to complete the migration.

[0213] Implementation Results Statistics:

[0214] The verification process achieved an accuracy rate of 94.5%. The average time from verification triggering to completion of damage identification and safety assessment (S100-S300) was 8 minutes. The damage area localization accuracy based on 3D clustering was within ±1 meter. Virtual pre-simulation and safety boundary constraints successfully prevented three potential sheath damage risks that could have been caused by excessive injection pressure. The repair operation using smooth transition control reduced the additional vibration response of the cable during repair by approximately 60% compared to traditional construction methods. Through case library accumulation and model fine-tuning, the system's efficiency in diagnosing and recommending strategies under similar environmental disturbances improved by 40%.

[0215] During the pilot phase, two potential early-stage damages were promptly identified, and tiered interventions prevented further development that could lead to cable stress redistribution or more serious defects, significantly improving the proactiveness and intelligence of cable-stayed bridge service safety management. In particular, the successful implementation of the migration freeze mechanism in Case Study 3 fully demonstrates the robustness and practicality of the method in complex and dynamic environments. The accumulated identification and handling strategies for specific climate-traffic coupling conditions provide valuable experience for the operation and maintenance of similar bridges.

[0216] Example 3: A dynamic verification system for the overall service status of a cable-stayed bridge, comprising:

[0217] The multi-source disturbance monitoring and trigger judgment module is used to monitor the multi-source environmental disturbances experienced by the cable stays during service, and decides whether to trigger the verification process based on a three-level nested judgment mechanism; if no verification is triggered after the three-level nested judgment, a disturbance omission compensation loop is executed.

[0218] The distributed signal acquisition and damage identification module is used to acquire acoustic emission or micro-vibration signal data collected by the distributed sensor network deployed in the cable sheath in response to the verification trigger signal issued by the trigger judgment module, and to perform three-dimensional cluster analysis of the signal data in spatial, temporal and energy dimensions to identify and locate progressive damage areas.

[0219] The dynamic safety assessment and early warning module is used to establish a dynamic resistance model reflecting the structural health status and an equivalent osmotic pressure model that quantifies the environmental load intensity for each progressive damage area identified by the damage identification module. By comparing the dynamic resistance and equivalent osmotic pressure in real time and analyzing the attenuation trend of the dynamic resistance, the module executes graded safety criteria to issue early warnings at different levels.

[0220] The graded repair strategy execution module is used to automatically match and drive the execution of the corresponding repair plan according to the warning level issued by the warning module. Specifically, for the first-level warning, a composite repair plan including active leak prevention and structural reinforcement is executed; for the second-level warning, an active intervention repair plan including minimally invasive repair intervention and monitoring upgrade is executed.

[0221] The repair iteration and closed-loop control module is used to continuously monitor the response of the progressive damage area under environmental disturbances after the repair is completed. If the response triggers verification again and is identified as a progressive damage area, the control system re-enters the dynamic safety assessment and early warning module and the graded repair strategy execution module to carry out repair iteration until the system returns to a stable state.

[0222] Those skilled in the art will understand that the embodiments of this application are provided as methods, systems, or computer program products. Therefore, this application takes the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application takes the form of a computer program product implemented on one or more computer storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer program code. The solutions in the embodiments of this application are implemented using various computer languages, exemplified by the object-oriented programming language Java and the interpreted scripting language JavaScript.

[0223] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, are implemented by computer program instructions. These computer program instructions are provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart illustrations and / or block diagrams.

[0224] These computer program instructions are also stored in a computer read-memory that can direct a computer or other programmed data processing device to operate in a particular manner, such that the instructions stored in the computer read-memory produce an article of manufacture including instruction means that implement the functions specified in the flowchart or multiple flowcharts and / or block diagram blocks or multiple block diagrams.

[0225] These computer program instructions are also loaded onto a computer or other programming data processing device to cause a series of operational steps to be performed on the computer or other programming device to produce a computer-implemented process, such that the instructions, which execute on the computer or other programming device, provide steps for implementing the functions specified in the flowchart flow or multiple flows and / or the block diagram blocks or multiple blocks.

[0226] Although preferred embodiments of this application have been described, those skilled in the art, upon learning the basic inventive concept, can make other changes and modifications to these embodiments. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments as well as all changes and modifications falling within the scope of this application.

[0227] Obviously, those skilled in the art can make various modifications and variations to this application without departing from the spirit and scope of this application. Therefore, if such modifications and variations fall within the scope of the claims of this application and their equivalents, this application also intends to include such modifications and variations.

Claims

1. A method for dynamic verification of the overall service status of a cable-stayed bridge, characterized in that, include: Monitor the multi-source environmental disturbances experienced by the stay cables during service, and determine whether to trigger the verification process based on a three-level nested judgment mechanism; If no verification is triggered after three levels of nested judgment, then execute the disturbance omission compensation loop; In response to the trigger verification, acoustic emission or micro-vibration signal data collected by a distributed sensor network inside the cable sheath are acquired; three-dimensional clustering analysis of the signal data in spatial, temporal and energy dimensions is performed to identify and locate progressive damage areas; For the identified progressive damage areas, dynamic resistance models and equivalent osmotic pressure models are established respectively; by comparing dynamic resistance and equivalent osmotic pressure in real time and analyzing the decay trend of dynamic resistance, graded safety criteria are implemented to issue early warnings at different levels; The dynamic resistance model is as follows: The following three resistance components are weighted and combined to obtain the following: Residual resistance of materials calculated based on material aging state Interfacial residual resistance calculated based on interfacial bond strength residual rate and the structural constraint resistance calculated based on the location constraint coefficient of the damage zone. ;in, The sum of the weighting coefficients of each resistance component is 1; The equivalent osmotic pressure model is as follows: ,in, Rainfall intensity, Salt spray concentration, For wind speed, Tidal level factor For coefficients; The execution-level security criteria include: The first-level warning criterion is to calculate the instantaneous resistance ratio between the equivalent osmotic pressure of the environment and the dynamic resistance. If the resistance ratio reaches or exceeds 90%, a first-level warning is issued. The second-level warning criterion is to calculate the current decay rate of dynamic resistance. If the current decay rate exceeds twice the historical baseline decay rate, a second-level warning will be issued. Based on the level of the warning, the corresponding repair plan is automatically matched and executed; for the first-level warning, a composite repair plan including active leak prevention and structural reinforcement is executed, and for the second-level warning, an active intervention repair plan including minimally invasive repair intervention and monitoring upgrade is executed. After repair, the response of the progressive damage area under environmental disturbances is continuously monitored; if the response triggers verification again and is identified as a progressive damage area, the system re-enters the safety assessment and graded repair steps to carry out repair iterations until the system returns to a stable state.

2. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 1, characterized in that, The three-level nested judgment mechanism includes: The first level of judgment, namely the screening of a single over-limit event: traverse the flow of disturbance events within the time window. If the intensity value of any standardized disturbance event exceeds the preset high-intensity event threshold, it is determined that the first triggering condition is met and the verification process is immediately triggered. The second level of judgment is the screening of cumulative events within the rolling time window: if the first level of judgment is not triggered, the cumulative number of disturbance events with intensity values ​​within the medium intensity threshold range within the preset length of the rolling time window is counted; if the cumulative number reaches or exceeds the preset cumulative event count threshold, the second triggering condition is met, and the verification process is triggered. The third level of judgment, namely multi-parameter coupling event screening: If the second level of judgment is still not triggered, then within the preset coupling judgment time window, it is checked whether the following three conditions are met simultaneously: there is a temperature change event where the temperature change exceeds the temperature change threshold, there is an event where the concentration change of the corrosive medium exceeds the concentration rise threshold, and there is an event where the low-frequency vibration intensity value exceeds the vibration intensity threshold; if the three conditions are met simultaneously within the preset coupling judgment time window, then it is determined that the third triggering condition is met, and the verification process is triggered.

3. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 2, characterized in that, The execution disturbance omission compensation loop includes: At least some of the strength thresholds used in the three-level nested judgment will be temporarily lowered by a preset ratio; Use the lowered temporary threshold to re-execute the three-level nested judgment on the cached perturbation event data; If verification is triggered after re-evaluation, the subsequent process is activated; if it is not triggered, the steps of downgrading and re-evaluation are repeated until the preset maximum number of loops is reached.

4. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 1, characterized in that, Performing three-dimensional cluster analysis on the signal data to identify progressive damage areas includes: Each signal event is mapped to a three-dimensional feature space consisting of normalized energy, spatial location coordinates, and relative time; Density clustering algorithm is used to cluster three-dimensional feature points and select candidate signal clusters with average energy exceeding the energy threshold; Calculate trend indicators for each candidate signal cluster : ;in, The number of events within the cluster. The time interval between adjacent events. The maximum allowed event interval threshold. and The first Individual and Normalized energy of an event For symbolic functions, For indicator functions; If the trend indicator is greater than the preset trend threshold, the area corresponding to the cluster is determined to be a progressive damage area.

5. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 4, characterized in that, Performing three-dimensional cluster analysis on the signal data to identify progressive damage areas also includes: For candidate signal clusters that have not reached the trend threshold, extend the signal acquisition time window and obtain the corresponding environmental penetration parameters; By introducing environmental permeability parameters as weighting factors, the trend indicators are recalculated with weighting. If the recalculated trend indicators meet the conditions, it is determined to be a progressive damage area; otherwise, the extended acquisition and weighted assessment are repeated before the maximum number of cycles is reached.

6. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 1, characterized in that, The composite repair scheme for the Level 1 early warning includes: Active leak prevention: Locate and drill holes in the damaged area, establish a local vacuum negative pressure environment, and then inject sealant into the damaged area. Structural reinforcement: Flexible composite material is bonded to the surface of the damaged area to form circumferential reinforcement, and a flow guide is installed upstream of it to change the flow direction of the external medium; The composite repair scheme for the secondary early warning includes: Minimally invasive repair intervention: Micropores are drilled in the damaged area, and repair adhesive is injected using capillary action; Implantable monitoring upgrade: After the repair is completed, a micro-sensor is implanted inside the sheath and connected to the existing distributed sensor network to establish a post-repair monitoring baseline.

7. The method for dynamic verification of the overall service status of a cable-stayed bridge according to claim 1, characterized in that, The repair iteration includes: Initiate a special monitoring plan for the original damaged area, increase the frequency of data collection and analysis during the preset observation period, and focus on evaluating the response of the original damaged area under subsequent environmental disturbances; If the response of the original damaged area triggers verification again and is identified as a progressive damaged area, it will re-enter the safety assessment and graded repair steps with new data for repair iteration. If the damaged area remains stable within a sufficiently long monitoring period after the repair iteration, the system is determined to have returned to a stable state; for cases with repeated recurrence, a detailed analysis report is generated and an expert consultation mechanism is triggered.

8. A dynamic verification system for the overall service status of a cable-stayed bridge performing the method as described in any one of claims 1-7, characterized in that, The system includes: The multi-source disturbance monitoring and trigger judgment module is used to monitor the multi-source environmental disturbances experienced by the cable stays during service, and decides whether to trigger the verification process based on a three-level nested judgment mechanism; if no verification is triggered after the three-level nested judgment, a disturbance omission compensation loop is executed. The distributed signal acquisition and damage identification module is used to acquire acoustic emission or micro-vibration signal data collected by the distributed sensor network deployed in the cable sheath in response to the verification trigger signal issued by the trigger judgment module, and to perform three-dimensional cluster analysis of the signal data in spatial, temporal and energy dimensions to identify and locate progressive damage areas. The dynamic safety assessment and early warning module is used to establish a dynamic resistance model reflecting the structural health status and an equivalent osmotic pressure model that quantifies the environmental load intensity for each progressive damage area identified by the damage identification module. By comparing the dynamic resistance and equivalent osmotic pressure in real time and analyzing the attenuation trend of the dynamic resistance, the module executes graded safety criteria to issue early warnings at different levels. The dynamic resistance model is as follows: The following three resistance components are weighted and combined to obtain the following: Residual resistance of materials calculated based on material aging state Interfacial residual resistance calculated based on interfacial bond strength residual rate and the structural constraint resistance calculated based on the location constraint coefficient of the damage zone. ;in, The sum of the weighting coefficients of each resistance component is 1; The equivalent osmotic pressure model is as follows: ,in, Rainfall intensity, Salt spray concentration, For wind speed, Tidal level factor For coefficients; The execution-level security criteria include: The first-level warning criterion is to calculate the instantaneous resistance ratio between the equivalent osmotic pressure of the environment and the dynamic resistance. If the resistance ratio reaches or exceeds 90%, a first-level warning is issued. The second-level warning criterion is to calculate the current decay rate of dynamic resistance. If the current decay rate exceeds twice the historical baseline decay rate, a second-level warning will be issued. The graded repair strategy execution module is used to automatically match and drive the execution of the corresponding repair plan according to the warning level issued by the warning module. Specifically, for the first-level warning, a composite repair plan including active leak prevention and structural reinforcement is executed; for the second-level warning, an active intervention repair plan including minimally invasive repair intervention and monitoring upgrade is executed. The repair iteration and closed-loop control module is used to continuously monitor the response of the progressive damage area under environmental disturbances after the repair is completed. If the response triggers verification again and is identified as a progressive damage area, the control system re-enters the dynamic safety assessment and early warning module and the graded repair strategy execution module to carry out repair iteration until the system returns to a stable state.

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