Flexible inclinometer monitoring system and method integrating vibration and inclinometry

Abstract

The invention relates to the technical field of bridge monitoring, in particular to a flexible inclinometer monitoring system and method integrating vibration and inclination measurement. The method comprises the steps that exploration data of collection points on a bridge are obtained based on a flexible inclinometer, the exploration data comprise bridge vibration signals and acceleration data, and the acceleration data are obtained by monitoring the collection points through an MEMS acceleration sensor of the flexible inclinometer; the method comprises the following steps: constructing a bridge vibration signal through a singular spectrum decomposition algorithm to obtain a track matrix, decomposing the track matrix to obtain a principal component of the bridge vibration signal, and performing sequence reconstruction on the principal component to obtain a processed bridge vibration signal; analyzing and processing the acceleration data to obtain the dynamic displacement of the bridge; and obtaining the processed bridge vibration signal and the dynamic displacement of the bridge, and generating an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge. According to the invention, the precision and efficiency of bridge monitoring can be comprehensively improved, and a powerful guarantee is provided for safe operation of the bridge.

Description

Technical Field

[0001] The invention relates to the technical field of bridge monitoring, and in particular to a flexible inclinometer monitoring system and method integrating vibration and inclination measurement. Background Art

[0002] With the acceleration of urbanization and the continuous development of transportation infrastructure, the safety and stability of bridges, as important transportation hubs connecting cities, are particularly important. However, bridges are affected by various natural factors (such as wind and earthquakes) and human factors (such as vehicle loads and material aging) during use, causing their structural performance to gradually deteriorate and may even cause safety accidents. Therefore, real-time monitoring and evaluation of bridges to promptly discover and deal with potential safety hazards have become an important means to ensure the safe operation of bridges.

[0003] When a bridge is subjected to external forces, it will vibrate. By installing vibration sensors and data acquisition equipment, the vibration parameters of the bridge, such as acceleration, velocity, and displacement, can be recorded in real time. These vibration data can reflect the dynamic response characteristics of the bridge structure and then evaluate its health status and bearing capacity. By analyzing the vibration data, possible structural defects or fatigue phenomena can be detected, and potential safety hazards can be discovered in advance.

[0004] Therefore, there is an urgent need for a flexible inclinometer monitoring system and method involving integrated vibration and inclinometer measurement to solve the above problems. Summary of the invention

[0005] The purpose of the present invention is to provide a flexible inclinometer monitoring system and method involving integrated vibration and inclination measurement, so as to solve the technical problems of low accuracy and poor real-time performance in traditional bridge monitoring methods.

[0006] The purpose of the present invention can be achieved through the following technical solutions:

[0007] On the one hand, a flexible inclinometer monitoring system integrating vibration and inclination measurement, the system includes a data acquisition module, a bridge vibration signal processing module, a bridge displacement data processing module and an early warning monitoring module;

[0008] The data acquisition module is used to acquire the survey data of the collection points on the bridge based on the flexible inclinometer, wherein the survey data includes the bridge vibration signal and acceleration data, and the acceleration data is obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection points;

[0009] The bridge vibration signal processing module is used to construct the bridge vibration signal through the singular spectrum decomposition algorithm to obtain the trajectory matrix, decompose the trajectory matrix to obtain the principal components of the bridge vibration signal, and perform sequence reconstruction on the principal components to obtain the processed bridge vibration signal;

[0010] The bridge displacement data processing module is used to analyze and process the acceleration data to obtain the dynamic displacement of the bridge;

[0011] The early warning monitoring module is used to obtain the processed bridge vibration signal and the dynamic displacement of the bridge, and generate an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge.

[0012] Furthermore, the bridge vibration signal is constructed by the singular spectrum decomposition algorithm, and the trajectory matrix is ​​obtained, which specifically includes the following processes:

[0013] Get bridge vibration signal Z N , where Z N is a one-dimensional time series of length N;

[0014] Find Z N The mean Z J :

[0015] Among them, Z Z Z N The sum of all data times in the sequence;

[0016] Based on Z N The mean Z J Z N De-average all discrete sequence points in Z N All sequence points in minus Z J , and form the input signal sequence Y N ={y1, y2...y N};

[0017] Set the sliding window length to P, where P is the number of N Each element y extracted from i The length of i is 1, 2...N, P=N / 2; set the number of windows to L, L=N+1-P, from Y N Starting from the first element of , move forward one element at a time until the window can no longer contain P elements. For each window, take its content as a row of the trajectory matrix to obtain the trajectory matrix X:

[0018]

[0019] The constructed X matrix is ​​a P×N Hankel matrix. The construction of Hankel is actually an expanded dimension, and the expanded dimension is determined by the window length P.

[0020] Furthermore, the trajectory matrix is ​​decomposed to obtain the principal components of the bridge vibration signal, which specifically includes the following process:

[0021] Calculate XXT The eigenvalues ​​λ1, λ2...λ d , d is XX T The number of eigenvalues ​​of X T is the transposed matrix of X;

[0022] According to XX T The symmetry property of , then we get the following formula:

[0023] Among them, U is the left singular matrix, V is the right singular matrix, V T is the transposed matrix of V; For XX T The diagonal matrix composed of the d eigenvalues ​​of The elements on the diagonal matrix are arranged from large to small according to the eigenvalues. d is the rank of the trajectory matrix, then X is expressed as follows:

[0024] Among them, the value of j is 1, 2...d, U j When the eigenvalue is λ j When the left singular matrix U corresponds to the matrix element, V j T When the eigenvalue is λ j When the matrix element corresponding to the transposed matrix of the right singular matrix is ​​X, the sum of the d principal components after singular value decomposition is selected, and the X with the larger singular value is selected. j Estimated signal, where X j is the principal component of the bridge vibration signal.

[0025] Furthermore, the sequence reconstruction of the principal components to obtain the processed bridge vibration signal specifically includes the following processes:

[0026] The principal component X of the bridge vibration signal j Divide into m groups of disjoint set signals {I1, I2...I m}, then the trajectory matrix X is expressed as:

[0027]

[0028] The trajectory matrix X is reconstructed by diagonal averaging to obtain the processed bridge vibration signal C. n ={C1, C2...C n}:

[0029]

[0030] Furthermore, the analysis and processing of the acceleration data to obtain the dynamic displacement of the bridge specifically includes the following process:

[0031]

[0032] Among them, s0 is the initial displacement value of the bridge, v0 is the initial displacement velocity of the bridge, a(t) is the acceleration data obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection point at time t, and S(t) is the dynamic displacement of the bridge.

[0033] Furthermore, generating an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge specifically includes the following process:

[0034] Obtaining the bridge vibration frequency ZD corresponding to the current moment based on the processed bridge vibration signal;

[0035] Obtain the dynamic displacement S(t) of the bridge;

[0036] Obtaining the initial displacement time T1 of the dynamic displacement of the bridge and the final displacement time T2 of the dynamic displacement of the bridge, and calculating the time period Y from time T1 to time T2;

[0037] Obtain the bridge safety factor R;

[0038] Substitute ZD, S(t), Y, and R into the correlation formula to calculate the monitoring safety index value LMS of the bridge. The correlation formula is as follows:

[0039]

[0040] Among them, γ and θ are weight factors, γ is 0.6, θ is 0.4;

[0041] The monitoring safety index threshold of the bridge is loaded to determine whether the monitoring safety index value LMS of the bridge exceeds the monitoring safety index threshold of the bridge. If so, no warning signal is generated; if not, a warning signal is generated.

[0042] Furthermore, obtaining the bridge safety factor R specifically includes the following process:

[0043] Determine whether the bridge has undergone material performance tests and load condition tests. If so, the bridge safety factor R is 1; if not, the bridge safety factor R is 0.

[0044] On the other hand, a monitoring method for a flexible inclinometer integrating vibration and inclination measurement is provided, the method comprising:

[0045] The survey data of the collection points on the bridge are obtained based on the flexible inclinometer, wherein the survey data includes the bridge vibration signal and acceleration data, and the acceleration data is obtained by monitoring the collection points by the MEMS acceleration sensor of the flexible inclinometer;

[0046] The bridge vibration signal is constructed by a singular spectrum decomposition algorithm to obtain a trajectory matrix, the trajectory matrix is ​​decomposed to obtain the principal components of the bridge vibration signal, and the principal components are sequence reconstructed to obtain the processed bridge vibration signal;

[0047] The acceleration data is analyzed and processed to obtain the dynamic displacement of the bridge;

[0048] The processed bridge vibration signal and the dynamic displacement of the bridge are obtained, and an early warning signal is generated based on the processed bridge vibration signal and the dynamic displacement of the bridge.

[0049] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0050] Comprehensive monitoring: The system can simultaneously monitor the vibration and deformation of the bridge to achieve a comprehensive assessment of the health of the bridge structure.

[0051] High precision: Both the flexible inclinometer and vibration sensor have high measurement accuracy and can accurately capture the tiny deformation and vibration parameters of the bridge.

[0052] Real-time warning: The system has a real-time warning function. Once an abnormality in the bridge structure is detected, the warning mechanism will be triggered immediately to remind management personnel to take timely measures to deal with it.

[0053] Intelligent analysis: The system uses big data and cloud computing technologies to conduct in-depth analysis and mining of monitoring data, providing a scientific decision-making basis for bridge maintenance management.

[0054] Easy to install and maintain: The flexible inclinometer is easy to install and does not require a traditional inclinometer tube, which reduces installation costs and maintenance difficulties. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can also be obtained based on these drawings.

[0056] Figure 1 is a system block diagram of a flexible inclinometer monitoring system integrating vibration and inclination measurement according to an embodiment of the present invention;

[0057] Figure 2 This is a working flow chart of a flexible inclinometer monitoring system integrating vibration and inclination measurement according to an embodiment of the present invention;

[0058] Figure 3 The present invention is a flowchart of a monitoring method for a flexible inclinometer integrating vibration and inclination measurement according to an embodiment of the present invention. DETAILED DESCRIPTION

[0059] 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 ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0060] In addition, the described features, structures or characteristics may be combined in one or more example embodiments in any suitable manner. In the following description, many specific details are provided to provide a full understanding of the example embodiments of the present disclosure. However, those skilled in the art will appreciate that the technical solutions of the present disclosure may be practiced while omitting one or more of the specific details, or other methods, components, steps, etc. may be adopted. In other cases, well-known structures, methods, implementations or operations are not shown or described in detail to avoid obscuring various aspects of the present disclosure.

[0061] This embodiment provides a flexible inclinometer monitoring system integrating vibration and inclination measurement. Figure 1 is a system block diagram of a flexible inclinometer monitoring system integrating vibration and inclination measurement according to an embodiment of the present invention. Figure 1 As shown, the system includes a data acquisition module, a bridge vibration signal processing module, a bridge displacement data processing module and an early warning monitoring module;

[0062] The data acquisition module is used to acquire the survey data of the collection points on the bridge based on the flexible inclinometer, wherein the survey data includes the bridge vibration signal and acceleration data, and the acceleration data is obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection points;

[0063] It is worth noting that the MEMS accelerometer of the flexible inclinometer has high sensitivity and high precision, and can accurately sense the slight tilt changes of the inclinometer tube or structure. This high-precision measurement capability enables the flexible inclinometer to monitor and record the deformation of the structure in real time, providing a reliable basis for subsequent data analysis and processing.

[0064] The bridge vibration signal processing module is used to construct the bridge vibration signal through the singular spectrum decomposition algorithm to obtain the trajectory matrix, decompose the trajectory matrix to obtain the principal components of the bridge vibration signal, and perform sequence reconstruction on the principal components to obtain the processed bridge vibration signal;

[0065] The bridge displacement data processing module is used to analyze and process the acceleration data to obtain the dynamic displacement of the bridge;

[0066] The early warning monitoring module is used to obtain the processed bridge vibration signal and the dynamic displacement of the bridge, and generate an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge.

[0067] In summary, the present invention obtains survey data of the collection points on the bridge based on the flexible inclinometer, wherein the survey data includes bridge vibration signals and acceleration data, and the acceleration data is obtained by monitoring the collection points with the MEMS acceleration sensor of the flexible inclinometer; the bridge vibration signal is constructed by the singular spectrum decomposition algorithm to obtain the trajectory matrix, the trajectory matrix is ​​decomposed to obtain the principal components of the bridge vibration signal, the principal components are sequenced to obtain the processed bridge vibration signal; the acceleration data is analyzed and processed to obtain the dynamic displacement of the bridge; the processed bridge vibration signal and the dynamic displacement of the bridge are obtained, and an early warning signal is generated based on the processed bridge vibration signal and the dynamic displacement of the bridge. The accuracy and efficiency of bridge monitoring can be comprehensively improved, and a strong guarantee can be provided for the safe operation of the bridge.

[0068] It is worth noting that the data acquisition module, the bridge vibration signal processing module, the bridge displacement data processing module and the early warning monitoring module can all realize two-to-two communication and data transmission.

[0069] In some embodiments, constructing the bridge vibration signal by a singular spectrum decomposition algorithm to obtain a trajectory matrix specifically includes the following process:

[0070] Get bridge vibration signal Z N , where Z N is a one-dimensional time series of length N;

[0071] Find Z N The mean Z J :

[0072] Among them, Z Z Z N The sum of all data times in the sequence;

[0073] Based on Z N The mean Z J Z N De-average all discrete sequence points in Z N All sequence points in minus Z J , and form the input signal sequence Y N ={y1, y2...y N};

[0074] Set the sliding window length to P, where P is the number of N Each element y extracted from iThe length of i is 1, 2...N, P=N / 2; set the number of windows to L, L=N+1-P, from Y N Starting from the first element of , move forward one element at a time until the window can no longer contain P elements. For each window, take its content as a row of the trajectory matrix to obtain the trajectory matrix X:

[0075]

[0076] The constructed X matrix is ​​a P×N Hankel matrix. The construction of Hankel is actually an expanded dimension, and the expanded dimension is determined by the window length P.

[0077] Furthermore, the trajectory matrix is ​​decomposed to obtain the principal components of the bridge vibration signal, which specifically includes the following process:

[0078] Calculate XX T The eigenvalues ​​λ1, λ2...λ d , d is XX T The number of eigenvalues ​​of X T is the transposed matrix of X;

[0079] According to XX T The symmetry property of , then we get the following formula:

[0080] Among them, U is the left singular matrix, V is the right singular matrix, V T is the transposed matrix of V; For XX T The diagonal matrix composed of the d eigenvalues ​​of The elements on the diagonal matrix are arranged from large to small according to the eigenvalues. d is the rank of the trajectory matrix, then X is expressed as follows:

[0081] Among them, the value of j is 1, 2...d, U j When the eigenvalue is λ j When the left singular matrix U corresponds to the matrix element, V j T When the eigenvalue is λ j When the matrix element corresponding to the transposed matrix of the right singular matrix is ​​X, the sum of the d principal components after singular value decomposition is selected, and the X with the larger singular value is selected. j Estimated signal, where X j is the principal component of the bridge vibration signal.

[0082] Furthermore, the sequence reconstruction of the principal components to obtain the processed bridge vibration signal specifically includes the following processes:

[0083] The principal component X of the bridge vibration signalj Divide into m groups of disjoint set signals {I1, I2...I m}, then the trajectory matrix X is expressed as:

[0084]

[0085] The trajectory matrix X is reconstructed by diagonal averaging to obtain the processed bridge vibration signal C. n ={C1, C2...C n}:

[0086]

[0087] In some embodiments, analyzing and processing the acceleration data to obtain the dynamic displacement of the bridge specifically includes the following process:

[0088]

[0089] Among them, s0 is the initial displacement value of the bridge, v0 is the initial displacement velocity of the bridge, a(t) is the acceleration data obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection point at time t, and S(t) is the dynamic displacement of the bridge.

[0090] In some embodiments, Figure 2 FIG. 1 is a flow chart of a flexible inclinometer monitoring system integrating vibration and inclination measurement according to an embodiment of the present invention. Figure 2 As shown, generating an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge specifically includes the following steps:

[0091] Step S201: obtaining the bridge vibration frequency ZD corresponding to the current moment based on the processed bridge vibration signal;

[0092] Step S202: Obtain the dynamic displacement S(t) of the bridge;

[0093] Step S203: obtaining the initial displacement time T1 of the dynamic displacement of the bridge and the final displacement time T2 of the dynamic displacement of the bridge, and calculating the time period Y from time T1 to time T2;

[0094] Step S204: Obtaining the bridge safety factor R;

[0095] Step S205: Substitute ZD, S(t), Y, and R into the correlation formula to calculate the monitoring safety index value LMS of the bridge. The correlation formula is as follows:

[0096]

[0097] Among them, γ and θ are weight factors, γ is 0.6, θ is 0.4;

[0098] Step S206: Loading the monitoring safety index threshold of the bridge. It is worth noting that the monitoring safety index threshold of the bridge is stored in the storage module of the system;

[0099] Step S207: determine whether the monitoring safety index value LMS of the bridge exceeds the monitoring safety index threshold of the bridge, if so, proceed to step S208, if not, proceed to step S209;

[0100] Step S208: No warning signal is generated;

[0101] Step S209: Generate a warning signal.

[0102] Obtaining the bridge safety factor R specifically includes the following processes:

[0103] Determine whether the bridge has undergone material performance tests and load condition tests. If so, the bridge safety factor R is 1; if not, the bridge safety factor R is 0.

[0104] Material performance testing includes testing the strength and stability of the materials used in the bridge (such as steel, concrete, etc.); load condition testing includes testing the various loads that the bridge will bear during use, including dead loads (such as the dead weight of the structure), live loads (such as vehicle loads, crowd loads), wind loads, and temperature loads.

[0105] The early warning signal is used to alert project-related personnel to the stability status of the bridge by issuing early warning information, and then formulate scientific reinforcement and repair plans to ensure the safety and stability of the project.

[0106] Once the warning signal is triggered, the system should immediately send the warning information to relevant personnel, including project managers, engineers, monitoring personnel, and emergency response teams, in an appropriate manner (such as text messages, phone calls, emails, alarms, etc.). The warning information should clearly indicate the specific location of the bridge, the abnormality of the monitoring data, the possible risk level, and the recommended initial response measures.

[0107] After receiving the early warning information, relevant personnel should quickly activate the emergency response mechanism and organize professionals to conduct on-site inspection and assessment of the slope to further confirm the stability of the bridge. At the same time, emergency reinforcement and repair plans should be formulated and implemented to control the further instability of the bridge and reduce potential risks.

[0108] This embodiment also provides a monitoring method for a flexible inclinometer integrating vibration and inclination measurement. Figure 3 FIG. 1 is a flow chart of a monitoring method for a flexible inclinometer integrating vibration and inclination measurement according to an embodiment of the present invention, such as Figure 3 As shown, the method includes:

[0109] Step S301: obtaining survey data of a collection point on a bridge based on a flexible inclinometer, wherein the survey data includes a bridge vibration signal and acceleration data, and the acceleration data is obtained by monitoring the collection point using a MEMS acceleration sensor of the flexible inclinometer;

[0110] Step S302: constructing the bridge vibration signal by a singular spectrum decomposition algorithm to obtain a trajectory matrix, decomposing the trajectory matrix to obtain the principal components of the bridge vibration signal, and performing sequence reconstruction on the principal components to obtain a processed bridge vibration signal;

[0111] Step S303: Analyze and process the acceleration data to obtain the dynamic displacement of the bridge;

[0112] Step S304: Obtain the processed bridge vibration signal and the dynamic displacement of the bridge, and generate an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge.

[0113] In some embodiments, for survey data with a small amount of missing data and a short time interval, a linear interpolation method is used to fill in the missing data. The linear interpolation method is expressed as:

[0114]

[0115] Among them, the values ​​corresponding to the survey data at time k and time k+m are Q k and Q k+m , Q k+m is the missing data at the k+ith moment.

[0116] Furthermore, the survey data is preprocessed:

[0117] De-noising: Survey data may contain various noises that will interfere with the authenticity and accuracy of the data. Therefore, appropriate denoising methods, such as window moving polynomial smoothing, wavelet denoising, etc., are needed to eliminate unreal fluctuations and mutations in the data.

[0118] Data conversion: According to analysis needs, convert raw data into appropriate formats and units for subsequent processing and analysis.

[0119] Data standardization: In order to eliminate the impact of different dimensions and magnitudes on data analysis, the data needs to be standardized so that all data are at the same order of magnitude.

[0120] Quality check: Perform quality check on the preprocessed data to ensure the accuracy and reliability of the data.

[0121] Error assessment: Evaluate the errors that may be introduced during data preprocessing and take appropriate measures to correct them.

[0122] Data storage: Store the preprocessed data in a secure and reliable database for subsequent query and analysis.

[0123] Data management: Establish a sound data management system to ensure the security and confidentiality of data.

[0124] The above embodiments can be implemented in whole or in part by software, hardware, firmware or any other combination. When implemented by software, the above embodiments can be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions or computer programs. When the computer instructions or computer programs are loaded or executed on a computer, the process or function described in the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from one website site, computer, server or data center to another website site, computer, server or data center by wired (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that contains one or more available media sets. The available medium can be a magnetic medium (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium. The semiconductor medium can be a solid-state hard disk.

[0125] Those of ordinary skill in the art will appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of this application.

[0126] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0127] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only some logical function divisions. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0128] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0129] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A flexible inclinometer monitoring system integrating vibration and inclination measurement, characterized in that: The system includes a data acquisition module, a bridge vibration signal processing module, a bridge displacement data processing module and an early warning monitoring module; The data acquisition module is used to acquire the survey data of the collection points on the bridge based on the flexible inclinometer, wherein the survey data includes the bridge vibration signal and acceleration data, and the acceleration data is obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection points; The bridge vibration signal processing module is used to construct the bridge vibration signal through the singular spectrum decomposition algorithm to obtain the trajectory matrix, decompose the trajectory matrix to obtain the principal components of the bridge vibration signal, and perform sequence reconstruction on the principal components to obtain the processed bridge vibration signal; The bridge displacement data processing module is used to analyze and process the acceleration data to obtain the dynamic displacement of the bridge; The early warning monitoring module is used to obtain the processed bridge vibration signal and the dynamic displacement of the bridge, and generate an early warning signal based on the processed bridge vibration signal and the dynamic displacement of the bridge.

2. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 1, characterized in that: The bridge vibration signal is constructed by singular spectrum decomposition algorithm to obtain the trajectory matrix. The process includes: Get bridge vibration signal Z N , where Z N is a one-dimensional time series of length N; Find Z N The mean Z J : Among them, Z Z Z N The sum of all data times in the sequence; Based on Z N The mean Z J Z N De-average all discrete sequence points in Z N All sequence points in minus Z J , and form the input signal sequence Y N ={y1, y2...y N }; Set the sliding window length to P, where P is the number of N Each element y extracted from i The length of i is 1, 2...N, P=N / 2; set the number of windows to L, L=N+1-P, from Y N Starting from the first element of , move forward one element at a time until the window can no longer contain P elements. For each window, take its content as a row of the trajectory matrix to obtain the trajectory matrix X: The constructed X matrix is ​​a P×N Hankel matrix. The construction of Hankel is actually an expanded dimension, and the expanded dimension is determined by the window length P.

3. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 2, characterized in that: Decomposing the trajectory matrix to obtain the principal components of the bridge vibration signal specifically includes the following process: Calculate XX T The eigenvalues ​​λ1, λ2...λ d , d is XX T The number of eigenvalues ​​of X T is the transposed matrix of X; According to XX T The symmetry property of , then we get the following formula: Among them, U is the left singular matrix, V is the right singular matrix, V T is the transposed matrix of V; For XX T The diagonal matrix composed of the d eigenvalues ​​of The elements on the diagonal matrix are arranged from large to small according to the eigenvalues. d is the rank of the trajectory matrix, then X is expressed as follows: Among them, the value of j is 1, 2...d, U j When the eigenvalue is λ j When the left singular matrix U corresponds to the matrix element, V i T When the eigenvalue is λ j When the matrix element corresponding to the transposed matrix of the right singular matrix is ​​X, the sum of the d principal components after singular value decomposition is selected, and the X with the larger singular value is selected. j Estimated signal, where X j is the principal component of the bridge vibration signal.

4. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 3, characterized in that: The sequence reconstruction of the principal components to obtain the processed bridge vibration signal specifically includes the following processes: The principal component X of the bridge vibration signal j Divide into m groups of disjoint set signals {I1, I2...I m }, then the trajectory matrix X is expressed as: The trajectory matrix X is reconstructed by diagonal averaging to obtain the processed bridge vibration signal C. n ={C1, C2...C n }:

5. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 1, characterized in that: The analysis and processing of acceleration data to obtain the dynamic displacement of the bridge specifically includes the following processes: Among them, s0 is the initial displacement value of the bridge, v0 is the initial displacement velocity of the bridge, a(t) is the acceleration data obtained by the MEMS acceleration sensor of the flexible inclinometer monitoring the collection point at time t, and S(t) is the dynamic displacement of the bridge.

6. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 1, characterized in that: The early warning signal is generated based on the processed bridge vibration signal and the dynamic displacement of the bridge. The process includes: Obtaining the bridge vibration frequency ZD corresponding to the current moment based on the processed bridge vibration signal; Obtain the dynamic displacement S(t) of the bridge; Obtaining the initial displacement time T1 of the dynamic displacement of the bridge and the final displacement time T2 of the dynamic displacement of the bridge, and calculating the time period Y from time T1 to time T2; Obtain the bridge safety factor R; Substitute ZD, S(t), Y, and R into the correlation formula to calculate the monitoring safety index value LMS of the bridge. The correlation formula is as follows: Among them, γ and θ are weight factors, γ is 0.6, θ is 0.4; The monitoring safety index threshold of the bridge is loaded to determine whether the monitoring safety index value LMS of the bridge exceeds the monitoring safety index threshold of the bridge. If so, no warning signal is generated; if not, a warning signal is generated.

7. The flexible inclinometer monitoring system integrating vibration and inclination measurement according to claim 6, characterized in that: Obtaining the bridge safety factor R specifically includes the following processes: Determine whether the bridge has undergone material performance tests and load condition tests. If so, the bridge safety factor R is 1; if not, the bridge safety factor R is 0.

8. A monitoring method for a flexible inclinometer integrating vibration and inclination, applicable to a monitoring system for a flexible inclinometer integrating vibration and inclination as claimed in any one of claims 1 to 7, characterized in that: Methods include: The survey data of the collection points on the bridge are obtained based on the flexible inclinometer, wherein the survey data includes the bridge vibration signal and acceleration data, and the acceleration data is obtained by monitoring the collection points by the MEMS acceleration sensor of the flexible inclinometer; The bridge vibration signal is constructed by a singular spectrum decomposition algorithm to obtain a trajectory matrix, the trajectory matrix is ​​decomposed to obtain the principal components of the bridge vibration signal, and the principal components are sequence reconstructed to obtain the processed bridge vibration signal; The acceleration data is analyzed and processed to obtain the dynamic displacement of the bridge; The processed bridge vibration signal and the dynamic displacement of the bridge are obtained, and an early warning signal is generated based on the processed bridge vibration signal and the dynamic displacement of the bridge.

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