Method, device and system for monitoring stay cable state of cable-stayed bridge
By deploying multiple strain sensors in the anchorage zone of a cable-stayed bridge, constructing a spatiotemporal strain network, and calculating spatiotemporal correlation evaluation indicators, the problem that a single cable-stayed cable sensor cannot provide real-time monitoring of the entire bridge was solved. This enabled real-time and accurate monitoring of the cable-stayed cable status of the entire bridge, ensuring bridge safety.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-12-31
- Publication Date
- 2026-04-03
AI Technical Summary
In existing technologies, single cable-stayed cable detection cannot achieve real-time monitoring of the entire bridge's cable-stayed cable status, nor can it reflect the differences in stress states at different locations, leading to inaccurate judgments of bridge stability.
By deploying multiple strain sensors in the anchorage zone of a cable-stayed bridge, a spatiotemporal strain network is constructed, spatiotemporal correlation evaluation indicators are calculated, and abrupt change points and singular points of the cables are determined, enabling full-bridge, full-time-domain monitoring and issuing alarms based on abnormal conditions.
It enables real-time and accurate monitoring of the status of the entire bridge's cable stays, improving the real-time nature and accuracy of monitoring, allowing for timely detection of anomalies, and ensuring bridge safety.
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Figure CN121783035A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of bridge engineering technology, and in particular to a method, device and system for monitoring the condition of cables in cable-stayed bridges. Background Technology
[0002] The stay cables are the lifeline of a cable-stayed bridge, bearing more than 70% of the bridge deck load, and their stress state directly determines the overall stability of the bridge. Over long-term use, stay cables may experience cable stress attenuation or uneven distribution due to material fatigue, corrosion, vibration, etc. If not detected in time, this can easily lead to cable breakage or even bridge collapse.
[0003] In existing technologies, cable-stayed bridges are developing towards larger spans and lighter weights, reducing structural redundancy and significantly increasing sensitivity to changes in cable forces. With the rapid development of sensing technology, numerous cable monitoring technologies, such as vibration and radar, have emerged. However, the stress state varies at different locations, and monitoring a single cable cannot reflect the true state of the entire cable, failing to meet the requirement of real-time monitoring of the entire bridge's cable status.
[0004] Therefore, it is evident that existing technologies for detecting a single cable cannot meet the requirement of real-time monitoring of the status of all cable stays on a bridge. Summary of the Invention
[0005] In view of this, it is necessary to provide a method, device and system for monitoring the condition of cable-stayed bridge cables, so as to solve the problem that the existing single cable detection technology cannot meet the requirements of real-time monitoring of the condition of the entire bridge's cable stays.
[0006] To address the aforementioned problems, in a first aspect, the present invention provides a method for monitoring the condition of cables in a cable-stayed bridge, comprising: The strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge are obtained, and the spatiotemporal strain network of the cable-stayed bridge cables is constructed based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. Based on the spatiotemporal network of strain, the spatiotemporal correlation evaluation index of each cable and anchor zone of the cable-stayed bridge is calculated, and the abrupt change point and singular point of each cable in the time dimension and in the spatial dimension are determined based on the spatiotemporal correlation evaluation index. The abnormal state of each cable is determined based on the mutation point and singular point, and an alarm is triggered based on the abnormal state.
[0007] In one possible implementation, the strain sensor signals acquired by multiple strain sensors arranged in the anchorage zone of a cable-stayed bridge are included, including: Based on the structural segmentation of the main girder of the cable-stayed bridge, multiple strain sensors are installed on each segment of the main girder in the anchoring zone of the cable-stayed bridge. The system collects signals from multiple strain sensors on each segment of the main beam and records the acquisition time of each strain sensor signal.
[0008] In one possible implementation, a spatiotemporal strain network for the cable-stayed bridge cables is constructed based on the arrangement positions of each strain sensor and the acquisition time of each strain sensor signal, including: Each strain sensor is numbered according to its location. The strain sensor number includes the number of the corresponding cable and the number of the bridge alignment of the corresponding cable anchoring zone. Based on the strain sensor number and the acquisition time of the strain sensor signals collected by the strain sensor, a strain spatiotemporal network that can reflect the relationship between the cable force and the strain in the anchor tension zone is constructed.
[0009] In one possible implementation, evaluation indices for the spatiotemporal correlation between each cable and the anchorage zone of a cable-stayed bridge are calculated based on a strain spatiotemporal network, including: Based on the real-time strain sensor signals of each sensor in the strain spatiotemporal network, the characteristic values of strain change of each strain sensor under load are calculated. Based on strain change eigenvalues, a spatiotemporal correlation evaluation index for cables and anchorage zones is constructed.
[0010] In one possible implementation, the formula for calculating the characteristic value of strain change is:
[0011] in, The characteristic value of strain change of strain sensor N in the anchored zone under load within time period T. For the strain sensor N, a fixed and unique code is provided. This is the eigenvalue extraction function for the anchorage zone under load within a time period T. Let be the real-time strain sensing signal of strain sensor N, i be the stay cable number, j be the bridge alignment location number of the stay cable anchorage zone, and t be the time t. , This is the real-time strain reference value for strain sensor N.
[0012] In one possible implementation, the formula for calculating the spatiotemporal correlation evaluation index is:
[0013] in, This is an evaluation index of the spatiotemporal correlation of cable i within the period time T. Let i be the spatial vector between the center of the anchor point of the stay cable i on the main beam and the distribution location of the strain sensor N in the corresponding segment beam anchor cable area. Let N be the weight of the strain sensing unit N corresponding to the anchor cable zone of the cable i.
[0014] In one possible implementation, the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable are determined based on spatiotemporal correlation evaluation indicators, including: Based on the spatiotemporal correlation evaluation index of each cable, a bar chart of the evaluation index of each cable during the period is drawn. An image similarity comparison algorithm is used to compare the evaluation index bar chart with the baseline bar chart to determine the abrupt change points in the time dimension and the singular points in the spatial dimension for each cable.
[0015] In one possible implementation, the abnormal state of each cable is determined based on abrupt change points and singularities, and an alarm is triggered based on the abnormal state, including: The abnormal state of each cable at different time points is determined based on the mutation points in the time dimension, and the abnormal state of the cables of the whole bridge at different locations is determined based on the singular points in the spatial dimension. Anomaly alarms are generated based on the abnormal states of each cable at different times and the abnormal states of all cables in different locations of the bridge.
[0016] Secondly, the present invention also provides a cable-stayed bridge cable condition monitoring device, comprising: The strain data acquisition module is used to acquire strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge, and to construct a spatiotemporal network of strain of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. The anomaly identification module is used to calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone of a cable-stayed bridge based on the strain spatiotemporal network, and to determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index. The alarm module is used to determine the abnormal state of each cable based on abrupt change points and singularity points, and to issue an alarm based on the abnormal state.
[0017] Thirdly, the present invention also provides a cable-stayed bridge cable condition monitoring system, applicable to cable-stayed bridge cable condition monitoring in any of the aforementioned implementations, comprising multiple strain sensors, a strain signal processing module, and an alarm module, wherein... Multiple strain sensors are used to collect signals from multiple strain sensors in the anchor tension zone of the cable-stayed bridge; The strain signal processing module is used to construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement location of each strain sensor and the acquisition time of each strain sensor signal; calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone based on the strain spatiotemporal network, and determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index; and determine the abnormal state of each cable based on the abrupt change points and singular points. The alarm module is used to issue alarms based on abnormal conditions.
[0018] The beneficial effects of this invention are as follows: The cable-stayed bridge cable condition monitoring method provided by this invention acquires strain sensor signals collected by multiple strain sensors arranged in the anchoring zone of the cable-stayed bridge, and constructs a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. By setting multiple strain sensors in the anchoring zone of the entire bridge cable and constructing a strain spatiotemporal network of the cable-stayed bridge cables according to the position of each strain sensor and the acquisition time of the strain sensor signal, the strain state of the entire bridge can be reflected in real time, avoiding the problem of inaccurate state judgment caused by monitoring a single cable. This method utilizes a strain-based spatiotemporal network to calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone of a cable-stayed bridge. Based on this index, it identifies abrupt change points in the time dimension and singularities in the spatial dimension for each cable. By calculating the spatiotemporal correlation evaluation index between each cable and the anchorage zone, and using the strain signals from strain sensors in the anchorage zone to represent the cable force, it accurately reflects the working state of the cables without the need for direct force measurement. Simultaneously, it identifies anomalies in both the time and spatial dimensions, enabling full-bridge, full-time monitoring of the cable-stayed bridge cables and improving the real-time performance and accuracy of monitoring. Abnormal states of each cable are determined based on abrupt change points and singularities, and alarms are triggered accordingly. When anomalies occur in the cables, timely alarms are issued to ensure the safety of the cable-stayed bridge. Attached Figure Description
[0019] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying 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.
[0020] Figure 1 This is a flowchart illustrating a method for monitoring the condition of cables in a cable-stayed bridge, as provided in an embodiment of the present invention. Figure 2 This is a schematic diagram of a sensing cable being laid longitudinally along the main beam of a main bridge, provided as an embodiment of the present invention. Figure 3 This is a schematic diagram of the deployment of a sensing cable in the anchorage area of the upstream and downstream stay cables of the main bridge, provided by an embodiment of the present invention. Figure 4 A schematic flowchart of a strain sensor signal acquisition method provided in an embodiment of the present invention; Figure 5 A flowchart illustrating a method for constructing a strain spatiotemporal network according to an embodiment of the present invention; Figure 6 A flowchart illustrating a method for calculating a spatiotemporal correlation evaluation index provided in an embodiment of the present invention; Figure 7This is a flowchart illustrating an anomaly identification method provided in an embodiment of the present invention. Figure 8 A flowchart illustrating an alarm method provided in an embodiment of the present invention; Figure 9 A flowchart illustrating an implementation method of S802 provided in an embodiment of the present invention; Figure 10 This is a schematic diagram of the structure of a cable-stayed bridge cable condition monitoring device provided in an embodiment of the present invention; Figure 11 This is a schematic diagram of a cable-stayed bridge cable condition monitoring system provided in an embodiment of the present invention. Detailed Implementation
[0021] Preferred embodiments of the present invention will now be described in detail with reference to the accompanying drawings, which form part of this application and are used together with the embodiments of the present invention to illustrate the principles of the present invention, but are not intended to limit the scope of the present invention.
[0022] The terms "first," "second," etc., used in the embodiments of this invention are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a technical feature defined with "first" or "second" may explicitly or implicitly include at least one of that feature.
[0023] In this document, the term "embodiment" means that a particular feature, structure, or characteristic described in connection with an embodiment may be included in at least one embodiment of the invention. The appearance of this phrase in various places throughout the specification does not necessarily refer to the same embodiment, nor is it a mutually exclusive, independent, or alternative embodiment. It will be explicitly and implicitly understood by those skilled in the art that the embodiments described herein can be combined with other embodiments.
[0024] A specific embodiment of the present invention, such as Figure 1 As shown, a method for monitoring the condition of cables in a cable-stayed bridge is disclosed, including: S101, acquire strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge, and construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal.
[0025] In this embodiment of the invention, a cable-stayed bridge is a type of bridge where the main beam is directly anchored to the bridge towers by numerous cables. It is a structural system composed of compression-bearing towers, tension-bearing cables, and bending-bearing beams. The anchorage zone of a cable-stayed bridge refers to the area where the cables are fixed to the bridge. Multiple strain sensors are installed in this zone, and the cable force can be determined based on the strain signals from the strain sensors. The anchorage points of the cables on the beams and towers generally do not coincide with the neutral axis of the main beam or tower cross-section; there is always a distance between them. Therefore, rigid arms need to be installed between the cable anchorage points and the nodes of the main beam and tower to ensure that the transmission of internal forces conforms to the actual situation. Specifically, for example... Figure 2 As shown, in the anchorage zone of the cable-stayed bridge, a grating array strain sensing optical cable is installed, on which multiple strain sensors are distributed, such as... Figure 3 As shown, strain sensors in the grating array strain sensing optical cable are installed at the contact points between the stay cables and the main beam of the bridge, acquiring strain sensor signals collected by multiple strain sensors arranged in the anchorage zone of the cable-stayed bridge. Based on the coordinates of the sensor locations and the acquisition time of their signals, spatiotemporal information is fused with strain data to construct a spatiotemporal strain network for the stay cables of the cable-stayed bridge. This network uses sensors as nodes and spatiotemporal relationships as edges, forming a dynamic data model encompassing spatial distribution and temporal evolution.
[0026] S102, based on the strain spatiotemporal network, calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone of the cable-stayed bridge, and determine the abrupt change point in the time dimension and the singular point in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index.
[0027] In this embodiment of the invention, a spatiotemporal correlation evaluation index between each cable and the anchorage zone is calculated based on a strain spatiotemporal network. This index is used to analyze the abrupt change behavior of cable strain in the time dimension and its anomalous distribution in the spatial dimension, thereby determining the abrupt change points in the time dimension and the singular points in the spatial dimension for each cable. Specifically, abrupt change points in the time dimension refer to anomalous points of a single cable at different times, while singular points in the spatial dimension refer to anomalous points of all cables in the bridge at the same moment. The specific calculation process of the spatiotemporal correlation evaluation index and the determination of abrupt change points in the time dimension and singular points in the spatial dimension will be explained in detail later in this invention.
[0028] S103, determine the abnormal state of each cable based on the mutation point and singular point, and issue an alarm based on the abnormal state.
[0029] In this embodiment of the invention, after determining the abrupt change point in the time dimension and the singular point in the spatial dimension, the abnormal state of the entire cable-stayed bridge throughout the entire time period can be determined based on the abrupt change point in the time dimension and the singular point in the spatial dimension, and then an alarm is triggered based on the abnormal state.
[0030] The cable-stayed bridge cable condition monitoring method provided by this invention acquires strain sensor signals collected by multiple strain sensors arranged in the anchorage zone of the cable-stayed bridge, and constructs a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. By setting multiple strain sensors in the anchorage zone of the entire bridge cable and constructing a strain spatiotemporal network of the cable-stayed bridge cables according to the position of each strain sensor and the acquisition time of the strain sensor signal, the strain state of the entire bridge can be reflected in real time, avoiding the problem of inaccurate state judgment caused by monitoring a single cable. This method utilizes a strain-based spatiotemporal network to calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone of a cable-stayed bridge. Based on this index, it identifies abrupt change points in the time dimension and singularities in the spatial dimension for each cable. By calculating the spatiotemporal correlation evaluation index between each cable and the anchorage zone, and displaying the cable force through strain signals from strain sensors in the anchorage zone, it accurately reflects the working state of the cables without the need for direct force measurement. Simultaneously, it identifies anomalies in both the time and spatial dimensions, enabling full-bridge, full-time monitoring of the cable-stayed bridge cables and improving the real-time performance and accuracy of monitoring. Furthermore, it identifies abnormal states of each cable based on abrupt change points and singularities, and issues alarms based on these abnormal states. When anomalies occur in the cables, timely alarms are triggered to ensure the safety of the cable-stayed bridge.
[0031] In some possible embodiments of the present invention, such as Figure 4 As shown, strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of a cable-stayed bridge are obtained, including: S401 is based on the structural segmentation of the main beam of a cable-stayed bridge, and multiple strain sensors are installed on each segment of the main beam in the anchoring zone of the cable-stayed bridge. S402 collects signals from multiple strain sensors on each segment of the main beam and records the acquisition time of each strain sensor signal.
[0032] In this embodiment of the invention, the main girder of a cable-stayed bridge is generally composed of multiple segmented beams. Each segmented beam has an anchorage zone, and multiple strain sensors are installed within these zones. These sensors collect strain sensing signals from each segmented beam to reflect the cable tension state. Simultaneously, the acquisition time of each strain sensing signal is recorded, providing data support for the subsequent construction of a spatiotemporal strain network. Along the bridge's anchorage zone, a grating array strain sensing cable is deployed upstream and downstream, forming a full-coverage sensing network for the entire anchorage zone. An optical signal transmitting unit emits pulsed light sources into the grating array sensing cable, and an optical signal demodulation unit acquires and demodulates the wavelength of the reflected light after refraction by the grating. This module is located in the bridge-side management room and connects the grating array strain cable and the signal acquisition module via optical fiber. This enables the acquisition of strain sensing signals across the entire cable-stayed bridge area.
[0033] In some possible embodiments of the present invention, such as Figure 5 As shown, a spatiotemporal strain network for the cable-stayed bridge cables is constructed based on the arrangement positions of each strain sensor and the acquisition time of each strain sensor signal, including: S501, each strain sensor is numbered according to its location. The strain sensor number includes the number of the cable corresponding to the strain sensor and the number of the bridge orientation of the cable anchoring zone. S502, based on the strain sensor number and the acquisition time of the strain sensor signal collected by the strain sensor, constructs a strain spatiotemporal network that can reflect the relationship between the cable force of the stay cable and the strain in the anchor tension zone.
[0034] In this embodiment of the invention, 29 stay cables are symmetrically arranged on the north and south sides and upstream and downstream of the tower of the cable-stayed bridge, with a total of 232 stay cables in the whole bridge. The stay cables are numbered as NS(An) (n=1,2,3…29), NS(Jn) (n=1,2,3…29), NX(An) (n=1,2,3…29), NX(Jn) (n=1,2,3…29), BS(An) (n=1,2,3…29), BS(Jn) (n=1,2,3…29), BX(An) (n=1,2,3…29), BX(Jn) (n=1,2,3…29). The cable-stayed anchorage zone is 990 meters long. Each standard beam is 8 meters long. The sensor units of the optical grating array sensor cable are spaced 1 meter apart. Each strain sensor unit is numbered j along the bridge direction as Sn (n=1,2,3…990) and Xn (n=1,2,3…990). There are approximately 8 strain sensors on each standard beam corresponding to each cable-stayed cable.
[0035] Furthermore, based on the location of the stay cables, a spatial correspondence and temporal correlation between the grating array strain sensing cable and the stay cables are constructed to accurately reflect the coordinated change law of cable force and strain in the anchoring zone. The real-time response of each strain sensing unit in the anchoring zone of the stay cables is as follows: i is the stay cable number, j is the bridge alignment location number of the stay cable anchoring zone, and t is the acquisition time of the strain sensing signal.
[0036] By numbering the stay cables and strain sensors, this invention can accurately reflect the correspondence between strain sensors and stay cables, as well as the positional relationship between each stay cable and the cable-stayed bridge, making it easier to construct a strain spatiotemporal network that reflects the relationship between the cable force and the strain in the anchor tension zone.
[0037] In some possible embodiments of the present invention, such as Figure 6 As shown, the spatiotemporal correlation evaluation index of each cable and anchor zone of a cable-stayed bridge is calculated based on a strain spatiotemporal network, including: S601, calculates the characteristic values of strain change of each strain sensor under load based on the real-time strain sensor signals of each sensor in the strain spatiotemporal network; S602, constructing a spatiotemporal correlation evaluation index between cables and anchor zones based on strain change eigenvalues.
[0038] In this embodiment of the invention, the strain change characteristic value of the strain sensor under load is used to reflect the cable force change of the corresponding stay cable under load. For each stay cable, there are multiple strain sensors. For each strain sensor, the strain change characteristic value under load can be calculated by the real-time strain sensor signal in the corresponding strain spatiotemporal network. Then, a spatiotemporal correlation evaluation index between the cable and the anchor tension zone is constructed based on the characteristic value.
[0039] Specifically, the formula for calculating the characteristic value of strain change is as follows:
[0040] in, The characteristic value of strain change of strain sensor N in the anchored zone under load within time period T. For the strain sensor N, a fixed and unique code is provided. This is the eigenvalue extraction function for the anchorage zone under load within a time period T. Let be the real-time strain sensing signal of strain sensor N, i be the stay cable number, j be the bridge alignment location number of the stay cable anchorage zone, and t be the time t. , This is the real-time strain reference value for strain sensor N.
[0041] The formula for calculating the spatiotemporal correlation evaluation index is as follows:
[0042] in, This is an evaluation index of the spatiotemporal correlation of cable i within the period time T. Let i be the spatial vector between the center of the anchor point of the stay cable i on the main beam and the distribution location of the strain sensor N in the corresponding segment beam anchor cable area. Let N be the weight of the strain sensing unit N corresponding to the anchor cable zone of the cable i.
[0043] In this embodiment of the invention, based on the structural segmentation of the bridge's main girder design corresponding to the positions of the stay cables, a spatial correspondence and temporal correlation are established between the grating array strain sensors of each main girder segment and the stay cables. This accurately reflects the coordinated change pattern of cable force and anchorage strain. The above formula enables the calculation of the spatiotemporal correlation evaluation index between the stay cables and the anchorage zone.
[0044] In some possible embodiments of the present invention, such as Figure 7 As shown, based on spatiotemporal correlation evaluation indicators, the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable are determined, including: S701, Based on the spatiotemporal correlation evaluation index of each cable, draw a bar chart of the evaluation index of each cable within the period. S702 uses an image similarity comparison algorithm to compare the evaluation index bar chart with the baseline bar chart to determine the abrupt change points in the time dimension and the singular points in the spatial dimension for each cable.
[0045] In this embodiment of the invention, after calculating the spatiotemporal correlation evaluation index of the cables and anchorage zones, a database of spatiotemporal correlation evaluation indexes of the entire bridge cables and anchorage zones is constructed. This data contains the spatiotemporal correlation evaluation indexes of the entire bridge cables and anchorage zones for all time periods, and a bar chart of the evaluation indexes of the spatiotemporal correlation evaluation indexes of the cables and anchorage zones within a preset time period is drawn, such as by day, week, month, or year. Then, the image similarity comparison method is used to compare the evaluation index bar chart with the baseline bar chart. For a single cable, it is necessary to determine whether it has anomalies at various time points within the time period and find the abrupt change points in the time dimension where anomalies occur. For the entire bridge cables, it is necessary to compare which cable has anomalies at the same time and find the singularities in the spatial dimension. Specifically, for abrupt changes in the time dimension, if the strain sensing signal of a cable at a certain time point is significantly increased compared to the strain sensing signal at other time points, it indicates that the cable is abnormal at that time point. For abrupt changes in the spatial dimension, if the strain sensing signal of a cable in the entire bridge is significantly increased at the same time, it indicates that the cable is abnormal.
[0046] This invention, through evaluating the spatiotemporal correlation of cables and anchor zones using evaluation indicators, can effectively identify anomalies in the time and space dimensions of cables.
[0047] In some possible embodiments of the present invention, such as Figure 8 As shown, the abnormal state of each cable is determined based on abrupt change points and singularities, and alarms are triggered based on the abnormal state, including: S801, based on the abrupt change points in the time dimension, determines the abnormal state of each cable at different time points, and based on the singular points in the spatial dimension, determines the abnormal state of the cables of the entire bridge at different locations. S802 generates anomaly alarms based on the abnormal states of each cable at different times and the abnormal states of all cables in different locations of the bridge.
[0048] In this embodiment of the invention, each mutation point corresponds to a possible event or state change. Based on the magnitude, duration, and frequency of the mutation point, it is determined whether the cable is in an abnormal state at the corresponding time point, and a severity level can be assigned to the abnormal state. Monitoring data of all cables across the entire bridge are collected at the same time point or within a time window, forming a spatial distribution sequence. The locations of cables that significantly deviate from the overall pattern in the spatial distribution are identified using a spatial singularity detection method. These singularities reflect localized damage or regional performance degradation and are used to determine the abnormal state of the entire bridge at different spatial locations. By combining the abnormal states of each cable at different time points and the abnormal states of all cables across the entire bridge at different locations, an abnormality alarm is triggered through a preset alarm strategy.
[0049] Furthermore, such as Figure 9 As shown, anomaly alarms are generated based on the abnormal states of each cable at different times and the abnormal states of all cables at different locations on the bridge, including: S901, when the abnormal state of each cable at different time points exceeds the preset abnormal threshold, a single cable abnormality alarm is issued; S902, when the number of abnormal states of the entire bridge cables at different locations exceeds the preset threshold, an alarm for abnormal state of the entire bridge cables is issued.
[0050] In this embodiment of the invention, based on the abnormal state of the cables in the time and space dimensions, a single cable abnormality alarm and a full bridge cable abnormality alarm can be set. When the same cable is detected as abnormal in the time dimension and is also identified as a singularity in the space dimension, a high confidence alarm is triggered. Based on the weighted score of the time and space abnormality degree, an alarm is triggered when the threshold is exceeded. According to the severity of the abnormal state and the spatial impact range, different levels of alarms are set. Combined with historical abnormal state data, early warnings are given for continuous or worsening abnormal trends.
[0051] This invention improves the comprehensiveness of cable anomaly detection by capturing anomaly features from both temporal and spatial dimensions. Through multi-dimensional information fusion, it reduces false alarms or missed alarms that may result from single-dimensional analysis, supports early warning, and helps to take maintenance measures in the early stages of anomalies, extending the service life of bridges. The method is highly adaptable and can be applied to various monitoring parameters for different types of cable-stayed bridges.
[0052] To better implement the cable-stayed bridge cable condition monitoring method in this embodiment of the invention, based on the cable-stayed bridge cable condition monitoring method, correspondingly, as follows: Figure 10 As shown, this embodiment of the invention also provides a cable-stayed bridge cable condition monitoring device. The cable-stayed bridge cable condition monitoring device 1000 includes: The strain data acquisition module 1001 is used to acquire strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge, and to construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. Anomaly identification module 1002 is used to calculate the spatiotemporal correlation evaluation index between each cable and the anchor zone of a cable-stayed bridge based on the strain spatiotemporal network, and to determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index. Alarm module 1003 is used to determine the abnormal state of each cable based on abrupt change points and singularity points, and to issue an alarm based on the abnormal state.
[0053] The cable-stayed bridge cable condition monitoring device 1000 provided in the above embodiments can realize the technical solutions described in the above embodiments of the cable-stayed bridge cable condition monitoring method. The specific implementation principles of each module or unit can be found in the corresponding content in the above embodiments of the cable-stayed bridge cable condition monitoring method, which will not be repeated here.
[0054] Furthermore, such as Figure 11 As shown, the present invention also provides another cable-stayed bridge cable condition monitoring system, applicable to cable-stayed bridge cable condition monitoring in any of the foregoing embodiments, including multiple strain sensors 1101, a strain signal processing module 1102, and an alarm module 1103, wherein, Multiple strain sensors 1101 are used to collect multiple strain sensor signals in the anchor tension zone of the cable-stayed bridge; The strain signal processing module 1102 is used to construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal; calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone based on the strain spatiotemporal network, and determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index; and determine the abnormal state of each cable based on the abrupt change points and singular points. Alarm module 1103 is used to generate alarms based on abnormal conditions.
[0055] The cable-stayed bridge cable status monitoring system provided in this embodiment of the invention can be combined with the cable-stayed bridge cable status monitoring method in any of the foregoing embodiments to achieve full-bridge, all-time monitoring of the cable status of the cable-stayed bridge. The specific working principle has been explained in the foregoing embodiments and will not be repeated here.
[0056] The above description is only a preferred embodiment of the present invention, but the scope of protection of the present invention is not limited thereto. Any changes or substitutions that can be easily conceived by those skilled in the art within the scope of the technology disclosed in the present invention should be included within the scope of protection of the present invention.
Claims
1. A method for monitoring the condition of cables in a cable-stayed bridge, characterized in that, include: The strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge are acquired, and a spatiotemporal strain network of the cable-stayed bridge cables is constructed based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. Based on the strain spatiotemporal network, the spatiotemporal correlation evaluation index of each cable and anchor zone of the cable-stayed bridge is calculated, and the abrupt change point in the time dimension and the singular point in the spatial dimension of each cable are determined based on the spatiotemporal correlation evaluation index. The abnormal state of each cable is determined based on the mutation point and the singular point, and an alarm is triggered based on the abnormal state.
2. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 1, characterized in that, The acquisition of strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge includes: Based on the structural segmentation of the main girder of the cable-stayed bridge, multiple strain sensors are installed on each segment of the main girder in the anchoring zone of the cable-stayed bridge. The signals from multiple strain sensors on each segment of the main beam are collected based on the multiple strain sensors, and the acquisition time of each strain sensor signal is recorded.
3. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 2, characterized in that, The construction of the strain spatiotemporal network for the cable-stayed bridge cables based on the arrangement positions of each strain sensor and the acquisition time of each strain sensor signal includes: Each strain sensor is numbered according to its location. The strain sensor number includes the number of the cable corresponding to the strain sensor and the number of the bridge alignment of the cable anchoring zone. Based on the strain sensor number and the acquisition time of the strain sensor signal collected by the strain sensor, a strain spatiotemporal network that can reflect the relationship between the cable force and the strain in the anchor tension zone is constructed.
4. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 3, characterized in that, The evaluation index for the spatiotemporal correlation between each cable and the anchorage zone of the cable-stayed bridge, calculated based on the strain spatiotemporal network, includes: Based on the real-time strain sensor signals of each sensor in the strain spatiotemporal network, the strain change characteristic values of each strain sensor under load are calculated. Based on the strain change characteristic values, a spatiotemporal correlation evaluation index for the cable and anchor zone is constructed.
5. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 4, characterized in that, The formula for calculating the characteristic value of strain change is: in, The characteristic value of strain change of strain sensor N in the anchored zone under load within time period T. For strain sensor N, a fixed and unique code is provided. This is the eigenvalue extraction function for the anchorage zone under load within a time period T. Let be the real-time strain sensing signal of strain sensor N, i be the stay cable number, j be the bridge alignment location number of the stay cable anchorage zone, and t be the time t. , This is the real-time strain reference value for strain sensor N.
6. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 4, characterized in that, The calculation formula for the spatiotemporal correlation evaluation index is as follows: in, This is an evaluation index of the spatiotemporal correlation of cable i within the period time T. Let i be the spatial vector between the center of the anchor point of the stay cable i on the main beam and the distribution location of the strain sensor N in the corresponding segment beam anchor cable area. Let N be the weight of the strain sensing unit N corresponding to the anchor cable zone of the cable i.
7. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 5, characterized in that, The determination of the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index includes: Based on the spatiotemporal correlation evaluation index of each cable, a bar chart of the evaluation index of each cable during the period is drawn. An image similarity comparison algorithm is used to compare the evaluation index bar chart with the baseline bar chart to determine the abrupt change points in the time dimension and the singular points in the spatial dimension for each cable.
8. The method for monitoring the condition of cables in a cable-stayed bridge according to claim 6, characterized in that, The process of determining the abnormal state of each cable based on the mutation point and the singular point, and issuing an alarm based on the abnormal state, includes: Based on the abrupt change points in the time dimension, the abnormal state of each cable at different time points is determined, and based on the singular points in the spatial dimension, the abnormal state of the cables of the entire bridge at different locations is determined. Anomaly alarms are generated based on the abnormal states of each cable at different times and the abnormal states of all cables in the bridge at different locations.
9. A cable-stayed bridge cable condition monitoring device, characterized in that, include: The strain data acquisition module is used to acquire strain sensor signals collected by multiple strain sensors arranged in the anchor tension zone of the cable-stayed bridge, and to construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement position of each strain sensor and the acquisition time of each strain sensor signal. An anomaly identification module is used to calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone of the cable-stayed bridge based on the strain spatiotemporal network, and to determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index. An alarm module is used to determine the abnormal state of each cable based on the mutation point and the singular point, and to issue an alarm based on the abnormal state.
10. A cable-stayed bridge cable condition monitoring system, characterized in that, The cable-stayed bridge cable condition monitoring system, applicable to any one of claims 1 to 8, includes multiple strain sensors, a strain signal processing module, and an alarm module, wherein... Multiple strain sensors are used to collect signals from multiple strain sensors in the anchor tension zone of the cable-stayed bridge; The strain signal processing module is used to construct a strain spatiotemporal network of the cable-stayed bridge cables based on the arrangement positions of each strain sensor and the acquisition time of each strain sensor signal; calculate the spatiotemporal correlation evaluation index between each cable and the anchorage zone based on the strain spatiotemporal network, and determine the abrupt change points in the time dimension and the singular points in the spatial dimension of each cable based on the spatiotemporal correlation evaluation index; and determine the abnormal state of each cable based on the abrupt change points and the singular points. An alarm module is used to issue an alarm based on the abnormal state.