Bridge monitoring method and system based on dynamic bridge grains

Abstract

The invention provides a bridge monitoring method and system based on dynamic bridge grains. The method comprises the following steps: acquiring full-bridge dynamic strain response of a bridge under vehicle load excitation based on a grating array sensing network in the bridge; constructing a dynamic bridge grain based on the full-bridge dynamic strain response; the dynamic bridge pattern is a strain change curve which changes along the mileage position of the bridge and represents the mutual stress relation of the structure; and determining whether the bridge has abnormal traffic flow, heavy vehicles, sudden accidental impact and diseases or not based on the dynamic bridge grains. According to the method, the dynamic bridge grain representing the structural characteristics of the bridge is constructed by using the strain data of the whole domain of the bridge, the overall structural characteristics of the bridge are considered, the relevance between the dynamic bridge grain and the bridge state is improved, and then the purpose of accurately monitoring the bridge state based on the dynamic bridge grain can be achieved; and the comprehensiveness, the accuracy and the real-time performance of bridge monitoring are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge structure monitoring, and in particular to a bridge monitoring method and system based on dynamic bridge patterns. Background Art

[0002] Bridges are an important part of highway transportation hubs. In recent years, bridge safety accidents have occurred frequently, with huge impacts. It is of great significance to carry out bridge structure monitoring.

[0003] The existing bridge structure monitoring system generally uses single-point sensors to detect key parts of the bridge. Point sensors have a short lifespan, complex installation and networking, low survival rate, and lack an overall evaluation model for the health status of the bridge. They can only compare the values ​​monitored at a single point with the empirical values ​​to monitor the health status, but cannot fully reflect the health changes of the entire bridge structure in real time, and it is difficult to timely reveal the hidden dangers that cause accidents, which can easily cause false alarms or omissions of important information. In addition, it is an isolated evaluation of the single-point monitoring data of each section, and does not pay attention to the impact of the overall structure of the bridge on the monitoring results. Therefore, it further exacerbates the technical problem of inaccurate monitoring results.

[0004] Therefore, there is an urgent need to provide a bridge monitoring method and system based on dynamic bridge patterns to detect subtle changes in local bridge structures and achieve comprehensive and accurate monitoring of bridges. Summary of the invention

[0005] In view of this, it is necessary to provide a bridge monitoring method and system based on dynamic bridge patterns to solve the technical problem in the prior art that bridges are monitored based on monitoring data from a single point section, resulting in inaccurate monitoring results.

[0006] In order to solve the above technical problems, in a first aspect, the present invention provides a bridge monitoring method based on dynamic bridge pattern, comprising: Based on the grating array sensor network in the bridge, the full-bridge dynamic strain response of the bridge under vehicle load excitation is obtained; Based on the dynamic strain response of the whole bridge, a dynamic bridge pattern is constructed; the dynamic bridge pattern is a strain variation curve that changes along the mileage position of the bridge and characterizes the mutual force relationship of the structure; Based on the dynamic bridge pattern, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects.

[0007] In a possible implementation, before determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and damage based on the dynamic bridge pattern, the method further includes: Obtaining a reference dynamic bridge pattern of the bridge in a reference state; Based on the reference dynamic bridge pattern, judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases; Then, the determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and damage based on the dynamic bridge pattern includes: When the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and damages, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and damages based on the dynamic bridge pattern.

[0008] In a possible implementation, judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases based on the reference dynamic bridge pattern includes: Determine a plurality of first data extreme value positions of the reference dynamic bridge pattern within different bridge mileage ranges and a plurality of second data extreme value positions of the dynamic bridge pattern within different bridge mileage ranges; Determine whether a position difference between the first data extreme value position and the second data extreme value position is less than a preset difference; If it is less than, it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

[0009] In a possible implementation, judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases based on the reference dynamic bridge pattern further includes: Determine characteristic mileage points of the bridge, and determine a first change trend of the reference dynamic bridge pattern and a second change trend of the dynamic bridge pattern based on the characteristic mileage points; Determining whether the first change trend and the second change trend are the same; If they are the same, it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

[0010] In a possible implementation, when the bridge is a cable-stayed bridge / suspension bridge, before determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact, and damage based on the dynamic bridge pattern, the method further includes: Determining the peak distance between two adjacent peaks in the dynamic bridge pattern; Obtaining the cable spacing of the cable-stayed bridge / suspension bridge, and determining whether the peak spacing is equal to the cable spacing; Then, the determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and damage based on the dynamic bridge pattern includes: When the peak spacing is equal to the cable spacing, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and damage based on the dynamic bridge pattern.

[0011] In a possible implementation, determining whether there is abnormal traffic flow on the bridge based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; When the strain change rate of the real-time dynamic bridge pattern along the time sequence is less than the change rate threshold, and the strain value at each mileage position in the real-time dynamic bridge pattern is greater than the strain value at each mileage position in the dynamic bridge pattern, it is determined that there is abnormal traffic flow on the bridge.

[0012] In a possible implementation, determining whether there is a heavy-loaded vehicle on the bridge based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; Determining a maximum strain response value in the real-time dynamic bridge pattern, and when the maximum strain response value is greater than a response threshold, determining whether the maximum strain response value occurs sequentially along the mileage position; When the maximum strain response values ​​occur sequentially along the mileage positions, it is determined that there is a heavy-loaded vehicle on the bridge.

[0013] In a possible implementation, determining whether the bridge has a sudden accidental impact based on the dynamic bridge pattern includes: Determining whether the maximum strain response value is greater than a reliable response value; the reliable response value is greater than the response threshold; When the maximum strain response value is greater than the reliable response value, it is determined that a sudden accidental impact exists on the bridge.

[0014] In a possible implementation, determining whether the bridge is damaged based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; Segmenting the dynamic bridge pattern and the real-time dynamic bridge pattern based on the bridge structure to obtain a plurality of dynamic bridge pattern segments and the real-time dynamic bridge pattern segments; Determine a first strain trend of each of the dynamic bridge segments and a second strain trend of each of the real-time dynamic bridge segments; When the first strain trend and the second strain trend are different, a target real-time dynamic bridge grain segment is determined, and it is determined that the target real-time dynamic bridge grain segment has a defect.

[0015] In a second aspect, the present invention further provides a bridge monitoring system based on dynamic bridge patterns, comprising: Grating array sensing optical cable, used to build a grating array sensing network and obtain the full-bridge dynamic strain response of the bridge; A demodulation and processing module, used to construct a dynamic bridge pattern based on the dynamic strain response of the full bridge; the dynamic bridge pattern is a strain change curve that changes along the mileage position of the bridge and characterizes the mutual force relationship of the structure; The bridge monitoring module is used to determine whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases based on the dynamic bridge pattern.

[0016] The beneficial effects of the present invention are as follows: the bridge monitoring method based on dynamic bridge grain provided by the present invention first obtains the full-bridge dynamic strain response of the bridge under vehicle load excitation based on the grating array sensor network in the bridge, and utilizes the full coverage of the grating array sensor network to realize the globality of the dynamic strain response, providing a data basis for the subsequent overall analysis of the bridge. Secondly, the dynamic bridge grain is constructed based on the dynamic strain response of the full bridge. Since once the bridge is built, its strain characteristics in a healthy state and under normal operation remain basically unchanged, once the dynamic bridge grain changes, it means that the structure of the bridge has changed, that is, the subsequent monitoring of the bridge state can be realized based on the dynamic bridge grain. In other words, the present invention constructs a dynamic bridge grain that characterizes the structural characteristics of the bridge using the dynamic strain response of the full bridge, that is, the dynamic bridge grain is a strain change curve that changes along the mileage position of the bridge and characterizes the mutual force relationship of the structure, and can realize the characterization of the bridge characteristics through the correlation relationship between different bridge mileage positions. Compared with the single-point type, the overall structural characteristics of the bridge are taken into account, and the correlation between the dynamic bridge grain and the bridge state is improved, thereby achieving the purpose of accurately monitoring the bridge state based on the dynamic bridge grain, and improving the comprehensiveness, accuracy and real-time performance of the monitoring of the bridge grain. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative work.

[0018] Figure 1 A schematic flow chart of an embodiment of a bridge monitoring method based on dynamic bridge patterns provided by the present invention; Figure 2 A schematic diagram of a flow chart of an embodiment of determining the reliability of dynamic bridge patterns provided by the present invention; Figure 3 For the present invention Figure 2 A schematic flow chart of an embodiment of step S202; Figure 4 A schematic diagram of an embodiment of the strain variation trend of the beam bridge provided by the present invention; Figure 5 For the present invention Figure 2 Another embodiment of step S202 is shown in the flowchart; Figure 6 A schematic diagram of another embodiment of the process of determining the reliability of dynamic bridge patterns provided by the present invention; Figure 7 A schematic diagram of a flow chart of an embodiment of determining whether there is an abnormal traffic flow provided by the present invention; Figure 8 A schematic diagram of an embodiment of a dynamic bridge pattern when there is an abnormal traffic flow; Fig. 9 A schematic diagram of a flow chart of an embodiment of determining whether there is a heavy-loaded vehicle provided by the present invention; Fig.10 A schematic diagram of an embodiment of a dynamic bridge pattern when a heavy-loaded vehicle is present; Fig.11 A schematic diagram of a flow chart of an embodiment of determining whether there is a sudden accidental impact provided by the present invention; Fig.12 A schematic diagram of a flow chart of an embodiment of determining whether a disease exists provided by the present invention; Fig.13 A schematic structural diagram of an embodiment of a bridge monitoring system based on dynamic bridge patterns provided by the present invention. DETAILED DESCRIPTION

[0019] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present invention.

[0020] It should be understood that the schematic drawings are not drawn to scale. The flowchart used in the present invention shows the operations implemented according to some embodiments of the present invention. It should be understood that the operations of the flowchart can be implemented out of order, and the steps without logical context can be reversed in order or implemented simultaneously. In addition, those skilled in the art, under the guidance of the content of the present invention, can add one or more other operations to the flowchart, and can also remove one or more operations from the flowchart. Some of the block diagrams shown in the accompanying drawings are functional entities, which do not necessarily correspond to physically or logically independent entities. These functional entities can be implemented in software form, or in one or more hardware modules or integrated circuits, or in different networks and / or processor systems and / or microcontroller systems.

[0021] Reference to an "embodiment" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiment may be included in at least one embodiment of the present invention. The appearance of the phrase in various places in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0022] The present invention provides a bridge monitoring method and system based on dynamic bridge patterns, which are described below respectively.

[0023] Figure 1 A schematic flow chart of an embodiment of a bridge monitoring method based on dynamic bridge pattern provided by the present invention is shown in FIG. Figure 1 As shown, the bridge monitoring method based on dynamic bridge pattern includes: S101. Acquire the full-bridge dynamic strain response of the bridge under vehicle load excitation based on the grating array sensor network in the bridge.

[0024] The grating array sensor network is composed of grating array sensor optical cables laid in the bridge.

[0025] For newly built bridges, the grating array sensor cable can be buried at the bottom of the bridge leveling layer. For existing bridges, it can be buried in grooves in the bridge pavement layer or laid on the bridge surface.

[0026] S102. Construct dynamic bridge patterns based on the dynamic strain response of the entire bridge; the dynamic bridge patterns are strain variation curves that vary along the mileage position of the bridge and characterize the mutual force relationship of the structures.

[0027] It should be noted that: to ensure the accuracy and reliability of the dynamic bridge pattern, in some embodiments of the present invention, the full-bridge dynamic strain response is the average value of the dynamic strain response within a certain time span. For example, the grating data of one week / month / year can be continuously acquired, and the average value of the dynamic strain response of one week / month / year is used as the full-bridge dynamic strain response.

[0028] S103. Determine whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and defects based on the dynamic bridge pattern.

[0029] In a specific embodiment of the present invention, the abnormal traffic flow refers to the traffic flow during traffic jam.

[0030] Compared with the prior art, the bridge monitoring method based on dynamic bridge grain provided by the embodiment of the present invention first obtains the full-bridge dynamic strain response of the bridge under vehicle load excitation based on the grating array sensor network in the bridge. By utilizing the full coverage of the grating array sensor network, the globality of the dynamic strain response can be achieved, providing a data basis for the subsequent overall analysis of the bridge. Secondly, the dynamic bridge grain is constructed based on the dynamic strain response of the whole bridge. Since once the bridge is built, its strain characteristics in a healthy state and under normal operation remain basically unchanged, once the dynamic bridge grain changes, it means that the structure of the bridge has changed, that is, the subsequent monitoring of the bridge state can be achieved based on the dynamic bridge grain. In other words, the embodiment of the present invention constructs a dynamic bridge grain that characterizes the structural characteristics of the bridge using the dynamic strain response of the whole bridge, that is, the dynamic bridge grain is a strain change curve that changes along the mileage position of the bridge and characterizes the mutual force relationship of the structure, and can achieve the characterization of the bridge characteristics through the correlation relationship between different bridge mileage positions. Compared with the single-point type, the overall structural characteristics of the bridge are taken into account, and the correlation between the dynamic bridge grain and the bridge state is improved, thereby achieving the purpose of accurately monitoring the bridge state based on the dynamic bridge grain, and improving the comprehensiveness, accuracy and real-time monitoring of the bridge grain.

[0031] From step S103, it can be seen that when monitoring a bridge, the dynamic bridge pattern is used as a reference value, and its accuracy is crucial to the monitoring results of abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases. Therefore, in order to eliminate the adverse effects caused by abnormalities or other situations of the grating array strain optical cable and ensure the accuracy of the dynamic bridge pattern, in some embodiments of the present invention, such as Figure 2 As shown, before step S103, it also includes: S201, obtaining a reference dynamic bridge pattern of the bridge in a reference state; It should be noted that the benchmark dynamic bridge texture refers to the dynamic bridge texture when the bridge is in a healthy state and under normal operation.

[0032] S202: judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases based on the reference dynamic bridge pattern.

[0033] The embodiment of the present invention judges the dynamic bridge pattern by obtaining the benchmark dynamic bridge pattern, so as to ensure that the dynamic bridge pattern determined for abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and disease is the dynamic bridge pattern without abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and disease, thereby avoiding misjudgment and further improving the accuracy of the monitoring results of subsequent multi-type monitoring of the bridge.

[0034] Then step S103 is specifically as follows: When dynamic bridge patterns can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects based on the dynamic bridge patterns.

[0035] In some embodiments of the present invention, Figure 3 As shown, step S202 includes: S301, determining a plurality of first data extreme value positions of the reference dynamic bridge pattern within different bridge mileage ranges and a plurality of second data extreme value positions of the dynamic bridge pattern within different bridge mileage ranges.

[0036] Since there is jitter in the baseline dynamic bridge texture and the dynamic bridge texture, in order to improve the efficiency of judging the dynamic bridge texture, the embodiment of the present invention divides the mileage position of the bridge into different bridge mileage ranges, finds the maximum and minimum values ​​in each bridge mileage range, and uses the extreme value in each bridge mileage range to represent the value within this bridge mileage range, thereby reducing the amount of data while ensuring accurate characterization of the baseline dynamic bridge texture and the dynamic bridge texture.

[0037] It should be noted that the mileage range can be divided according to the bridge type. For example, when the bridge type is a beam bridge, the position of each pier of the beam bridge is used as the dividing point.

[0038] S302, determining whether a position difference between a first data extreme value position and a second data extreme value position is less than a preset difference; It should be understood that the preset difference should be set according to the actual application scenario, which will not be elaborated here.

[0039] S303: If it is less than , it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

[0040] The embodiment of the present invention takes into account that when the bridge is not damaged and is in a healthy state, the position where the data extreme value appears will not change in theory. The dynamic bridge pattern is judged based on this characteristic, and an accurate judgment can be made on whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects.

[0041] Similarly, for a bridge with a fixed structure, such as a beam bridge, when it is in a healthy state and in normal operation, the strain change of the piers / abutments is minimal, and the strain change of the main beam is larger than that of the piers and abutments. Figure 4 As shown in FIG. 1 , the strain variation trend between two adjacent piers is first increased and then decreased. Based on this characteristic, in some embodiments of the present invention, as shown in FIG. Figure 5 As shown, step S202 also includes: S501, determining characteristic mileage points of the bridge, and determining a first change trend of the reference dynamic bridge pattern and a second change trend of the dynamic bridge pattern based on the characteristic mileage points; S502, determining whether the first change trend and the second change trend are the same; Specifically, the first change trend and the second change trend being the same include, but are not limited to: the trend type (increasing, decreasing, increasing first and then decreasing, remaining unchanged) and the trend value being the same.

[0042] The same trend value means that the difference of the trend values ​​is less than a preset difference.

[0043] S503: If they are the same, it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

[0044] The present invention utilizes the characteristic that when the bridge is in a healthy state and operating normally, the change trends between adjacent characteristic mileage points remain basically consistent, and determines whether the dynamic bridge texture can be used to deal with abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases, thereby further ensuring the reliability of the dynamic bridge texture, that is, further improving the accuracy of the bridge monitoring results.

[0045] Since the dynamic bridge pattern reflects the bridge structure, in order to further ensure the accuracy of the dynamic bridge pattern, in some embodiments of the present invention, Figure 6 As shown, before step S103, it also includes: S601, determining the peak distance between two adjacent peaks in the dynamic bridge pattern; S602, obtaining the cable spacing of the cable-stayed bridge / suspension bridge, and determining whether the peak spacing is equal to the cable spacing; Then step S103 is specifically as follows: When the peak spacing and cable spacing are equal, it is determined based on the dynamic bridge pattern whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases.

[0046] The embodiment of the present invention utilizes the characteristics of the bridge structure reflected in the dynamic bridge pattern to achieve further judgment of the dynamic bridge pattern.

[0047] In a specific embodiment of the present invention, the cable spacing of the cable-stayed bridge is 8 meters.

[0048] It should be noted that for other types of bridges, such as suspension bridges, beam bridges, etc., the distance between characteristic structures and the peak spacing of wave crests can also be used to judge the dynamic bridge pattern, which will not be elaborated here.

[0049] In some embodiments of the present invention, Figure 7 As shown, determining whether there is abnormal traffic flow on the bridge based on the dynamic bridge pattern in step S103 includes: S701, obtaining real-time dynamic bridge texture of the bridge based on the grating array sensor network; S702: When the strain change rate of the real-time dynamic bridge pattern along time is less than the change rate threshold, and the strain value at each mileage position in the real-time dynamic bridge pattern is greater than the strain value at each mileage position in the dynamic bridge pattern, it is determined that there is abnormal traffic flow on the bridge.

[0050] The change rate threshold is obtained by pre-calibration.

[0051] The embodiment of the present invention utilizes that when there is abnormal traffic flow on the bridge, the overall structural response of the bridge increases approximately in proportion (e.g. Figure 8 As shown, Figure 8 The left side shows the response when no abnormal traffic flow occurs, and the right side shows the response when abnormal traffic flow does occur. Figure 8 If the horizontal axis is the mileage and the vertical axis is the strain change value, and the real-time dynamic strain change rate of the bridge decreases along the time sequence, it is considered that the traffic volume is large and the speed is slow, and a traffic jam (abnormal traffic flow) has occurred.

[0052] In some embodiments of the present invention, Fig. 9 As shown, determining whether there is a heavy-loaded vehicle on the bridge based on the dynamic bridge pattern in step S103 includes: S901, obtaining real-time dynamic bridge texture of the bridge based on the grating array sensor network; S902, determining the maximum strain response value in the real-time dynamic bridge pattern, and when the maximum strain response value is greater than the response threshold, determining whether the maximum strain response value occurs sequentially along the mileage position; S903: When the maximum strain response values ​​occur successively along the mileage positions, it is determined that there is a heavy-loaded vehicle on the bridge.

[0053] Specifically, Fig.10 As shown, Fig.10 The three curves from top to bottom in the figure represent the dynamic global distribution curves and dynamic bridge patterns at different times. Fig.10 It can be seen that when a heavy-loaded vehicle appears on the beam bridge, the position of the maximum strain response value gradually changes with the passage of time, indicating that the heavy-loaded vehicle continues to move forward on the beam bridge.

[0054] In some embodiments of the present invention, Fig.11 As shown, determining whether there is a sudden accidental impact on the bridge based on the dynamic bridge pattern in step S103 includes: S1101, judging whether the maximum strain response value is greater than the reliable response value; the reliable response value is greater than the response threshold; S1102. When the maximum strain response value is greater than the reliable response value, it is determined that there is a sudden accidental impact on the bridge.

[0055] It should be understood that the sudden accidental impact in the embodiment of the present invention refers to a severe impact, that is, a significant and rapid change in the strain response value of the dynamic bridge pattern. Therefore, by using this characteristic, the embodiment of the present invention can determine whether the bridge has a sudden accidental impact by comparing the maximum strain response value with the reliability response value.

[0056] Specifically, the reliable response value refers to the critical strain response value between the bridge not collapsing and the bridge collapsing.

[0057] In some embodiments of the present invention, Fig.12 As shown, the step S103 of determining whether the bridge is damaged based on the dynamic bridge pattern includes: S1201, obtaining real-time dynamic bridge texture of the bridge based on the grating array sensor network; S1202, segmenting the dynamic bridge pattern and the real-time dynamic bridge pattern based on the bridge structure to obtain a plurality of dynamic bridge pattern segments and real-time dynamic bridge pattern segments; S1203, determining a first strain trend of each dynamic bridge segment and a second strain trend of each real-time dynamic bridge segment; S1204. When the first strain trend and the second strain trend are different, determine the target real-time dynamic bridge grain segment, and determine whether the target real-time dynamic bridge grain segment has a defect.

[0058] The first strain trend and the second strain trend are different, including but not limited to different trend types (increasing, decreasing, increasing first and then decreasing, remaining unchanged, etc.) or trend values ​​(increasing rate, decreasing rate, etc.).

[0059] The monitoring principle is: when the bridge is not damaged, the first strain trend and the second strain trend should be the same. For example, for a beam bridge, the strain trend is that the strain gradually increases in the direction away from the pier. If the strain trend is that the strain remains basically unchanged in the direction away from the pier, it can be judged that the pier has a disease.

[0060] To summarize, the bridge monitoring method based on dynamic bridge patterns proposed in the embodiment of the present invention is a bridge structure status evaluation mode based on the grating array strain field characterizing the "bridge patterns" of the entire bridge, realizing the health monitoring system function based on the intelligent feedback of the static / dynamic characteristics evolution trend of the entire bridge structure based on the monitoring of a few parameters.

[0061] On the other hand, the embodiment of the present invention also provides a bridge monitoring system based on dynamic bridge pattern, such as Fig.13 As shown, the bridge monitoring system 1300 based on dynamic bridge pattern includes: The grating array sensing optical cable 1301 is used to construct a grating array sensing network and obtain the full-bridge dynamic strain response of the bridge; The demodulation and processing module 1302 is used to construct dynamic bridge patterns based on the dynamic strain response of the entire bridge; the dynamic bridge patterns are strain variation curves that vary along the mileage position of the bridge and characterize the mutual force relationship of the structure; The bridge monitoring module 1303 is used to determine whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects based on the dynamic bridge pattern.

[0062] The dynamic bridge pattern-based bridge monitoring system 1300 provided in the above embodiment can implement the technical solution described in the above embodiment of the bridge monitoring method based on dynamic bridge pattern. The specific implementation principles of the above modules or units can refer to the corresponding contents in the above embodiment of the bridge monitoring method based on dynamic bridge pattern, which will not be repeated here.

[0063] Those skilled in the art will appreciate that all or part of the processes of the above-mentioned embodiments can be implemented by instructing related hardware (such as a processor, a controller, etc.) through a computer program, and the computer program can be stored in a computer-readable storage medium, wherein the computer-readable storage medium is a disk, an optical disk, a read-only storage memory, or a random access memory, etc.

[0064] The above is a detailed introduction to a bridge monitoring method and system based on dynamic bridge patterns provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for technical personnel in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A bridge monitoring method based on dynamic bridge pattern, characterized in that: include: Based on the grating array sensor network in the bridge, the full-bridge dynamic strain response of the bridge under vehicle load excitation is obtained; constructing a dynamic bridge pattern based on the full-bridge dynamic strain response; The dynamic bridge pattern is a strain variation curve that changes along the bridge mileage position and characterizes the mutual force relationship of the structure; Based on the dynamic bridge pattern, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and defects.

2. The bridge monitoring method based on dynamic bridge pattern according to claim 1 is characterized in that: Before determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and damage based on the dynamic bridge pattern, the method further includes: Obtaining a reference dynamic bridge pattern of the bridge in a reference state; Based on the reference dynamic bridge pattern, judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases; Then, the determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and damage based on the dynamic bridge pattern includes: When the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and damages, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and damages based on the dynamic bridge pattern.

3. The bridge monitoring method based on dynamic bridge pattern according to claim 2 is characterized in that: The determining, based on the reference dynamic bridge pattern, whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases includes: Determine a plurality of first data extreme value positions of the reference dynamic bridge pattern within different bridge mileage ranges and a plurality of second data extreme value positions of the dynamic bridge pattern within different bridge mileage ranges; Determine whether a position difference between the first data extreme value position and the second data extreme value position is less than a preset difference; If it is less than, it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

4. The bridge monitoring method based on dynamic bridge pattern according to claim 3 is characterized in that: The step of judging whether the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases based on the reference dynamic bridge pattern also includes: Determine characteristic mileage points of the bridge, and determine a first change trend of the reference dynamic bridge pattern and a second change trend of the dynamic bridge pattern based on the characteristic mileage points; Determining whether the first change trend and the second change trend are the same; If they are the same, it is determined that the dynamic bridge pattern can be used to determine abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases.

5. The bridge monitoring method based on dynamic bridge pattern according to claim 1 is characterized in that: When the bridge is a cable-stayed bridge / suspension bridge, before determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and diseases based on the dynamic bridge pattern, the method further includes: Determining the peak distance between two adjacent peaks in the dynamic bridge pattern; Obtaining the cable spacing of the cable-stayed bridge / suspension bridge, and determining whether the peak spacing is equal to the cable spacing; Then, the determining whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impact and damage based on the dynamic bridge pattern includes: When the peak spacing is equal to the cable spacing, it is determined whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts, and damage based on the dynamic bridge pattern.

6. The bridge monitoring method based on dynamic bridge pattern according to claim 1 is characterized in that: Determining whether there is abnormal traffic flow on the bridge based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; When the strain change rate of the real-time dynamic bridge pattern along the time sequence is less than the change rate threshold, and the strain value at each mileage position in the real-time dynamic bridge pattern is greater than the strain value at each mileage position in the dynamic bridge pattern, it is determined that there is abnormal traffic flow on the bridge.

7. The bridge monitoring method based on dynamic bridge pattern according to claim 1 is characterized in that: Determining whether there is a heavy-loaded vehicle on the bridge based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; Determining a maximum strain response value in the real-time dynamic bridge pattern, and when the maximum strain response value is greater than a response threshold, determining whether the maximum strain response value occurs sequentially along the mileage position; When the maximum strain response values ​​occur sequentially along the mileage positions, it is determined that there is a heavy-loaded vehicle on the bridge.

8. The bridge monitoring method based on dynamic bridge pattern according to claim 7 is characterized in that: Determining whether the bridge has a sudden accidental impact based on the dynamic bridge pattern includes: Determining whether the maximum strain response value is greater than a reliable response value; the reliable response value is greater than the response threshold; When the maximum strain response value is greater than the reliable response value, it is determined that a sudden accidental impact exists on the bridge.

9. The bridge monitoring method based on dynamic bridge pattern according to claim 1, characterized in that: Determining whether the bridge is damaged based on the dynamic bridge pattern includes: Acquiring real-time dynamic bridge patterns of the bridge based on the grating array sensor network; Segmenting the dynamic bridge pattern and the real-time dynamic bridge pattern based on the bridge structure to obtain a plurality of dynamic bridge pattern segments and the real-time dynamic bridge pattern segments; Determine a first strain trend of each of the dynamic bridge segments and a second strain trend of each of the real-time dynamic bridge segments; When the first strain trend and the second strain trend are different, a target real-time dynamic bridge grain segment is determined, and it is determined that the target real-time dynamic bridge grain segment has a defect.

10. A bridge monitoring system based on dynamic bridge pattern, characterized in that: include: Grating array sensing optical cable, used to build a grating array sensing network and obtain the full-bridge dynamic strain response of the bridge; A demodulation and processing module, used for constructing dynamic bridge patterns based on the dynamic strain response of the full bridge; The dynamic bridge pattern is a strain variation curve that changes along the bridge mileage position and characterizes the mutual force relationship of the structure; The bridge monitoring module is used to determine whether the bridge has abnormal traffic flow, heavy-loaded vehicles, sudden accidental impacts and diseases based on the dynamic bridge pattern.

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