Real-time abnormal diagnosis method and system for displacement monitoring data of old slab bridge girder

Abstract

The invention relates to the technical field of bridge monitoring, in particular to an abnormal real-time diagnosis method and system for displacement monitoring data of a main beam of an old slab bridge, and the method comprises the steps: collecting and processing the vertical displacement of n main beam components in the transverse bridge direction of an upper structure of the same section of the old bridge at any t moment; calculating the force transfer index of the real-time displacement between the ith and jth main beam components of the upper structure of the same section of the old bridge at the t moment; constructing a judgment matrix of real-time displacement force transfer indexes of n main beam components of the old bridge superstructure; and an abnormity judgment function of the displacement monitoring data of the ith main beam component of the old bridge superstructure at the t moment is constructed, when the abnormity judgment function F (i) is 0, it is indicated that the displacement monitoring data of the ith main beam component at the t moment is not abnormal, and otherwise, it is indicated that the displacement monitoring data of the ith main beam component at the t moment is abnormal. The data accuracy of the old bridge displacement real-time monitoring system is enhanced, the situation of bridge structure safety monitoring misjudgment is diagnosed and eliminated in time, and the reliability of bridge safety monitoring and safety evaluation is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge monitoring, and in particular to a method and system for real-time diagnosis of abnormality in displacement monitoring data of a main beam of an old slab bridge. Background Art

[0002] During the service period, old bridges will have different degrees of diseases due to the long-term influence of factors such as traffic load, environmental erosion and material aging. These diseases include cracks, deformation, corrosion, etc., which seriously affect the structural safety and service life of the bridge. In order to avoid further structural damage and bridge safety accidents, it is necessary to conduct regular inspection and safety monitoring of the safety status of the old bridge because it is the upper main beam structure of the bridge. Since the period of regular inspection is 1 to 3 years, the timeliness of the control of the structural safety status is insufficient. In order to be able to grasp the safety status of the bridge in real time, the bridge health monitoring system came into being. By installing sensors to monitor the structural response of the bridge, such as displacement monitoring indicators that can characterize the safety of the bridge, the displacement changes of the bridge structure are monitored in real time, and abnormal changes of the structure are discovered and diagnosed in time, thereby providing a scientific basis for the maintenance and management of the bridge. However, there are anomalies in the real-time displacement monitoring data other than structural damage. The main anomalies are data anomalies caused by non-degradation of the old bridge structure such as sensor failure, signal interference and external interference, which will lead to misjudgment of bridge safety and affect the accuracy and reliability of the real-time displacement monitoring system.

[0003] In order to solve the problem of data anomalies in displacement monitoring systems, most technologies use machine learning to train monitoring data and build prediction models for anomaly judgment. However, there is uncertainty in the selection of model parameters and randomness in the abnormality of monitoring data, which leads to certain errors in the constructed prediction models in data anomaly judgment. In addition, the computational cost required by machine learning is high, and a model needs to be built for each displacement measurement point, which has certain limitations in actual engineering applications. In order to solve the above problems, a real-time diagnosis method for the vertical displacement monitoring anomaly of the main beam with high computational efficiency and reliable accuracy is proposed based on the mechanical drive analysis of the structural characteristics of the old bridge. Summary of the invention

[0004] In view of the problems in the prior art, the present invention provides a method and system for real-time diagnosis of abnormal displacement monitoring data of the main beam of an old bridge. The specific technical solution is as follows:

[0005] On the one hand, the present invention provides a method for real-time diagnosis of abnormal displacement monitoring data of an old bridge main beam, comprising the following steps:

[0006] Step S1, collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t, and assume that the displacement monitoring data of the i-th main beam component at time t is D i(t), i = 1, 2, ..., n;

[0007] Step S2: monitor the displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t);

[0008] Step S3, based on the displacement monitoring data D of n main beam components processed at any time t i '(t) Calculate the force transmission index h(t) between the i-th and j-th main beam components of the upper structure of the same section of the old bridge at time t ij , we can get the force transmission index matrix h(t) of n main beam components at any time t nxn ;

[0009] Step S4, constructing the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn ;

[0010] Step S5, constructing an abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the old bridge superstructure at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i (t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function F i (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

[0011] Preferably, the force transmission index h(t) between the i-th and j-th main beam components of the superstructure of the old bridge with the same section is ij The calculation method is as follows:

[0012]

[0013] The force transmission index matrix h(t) of n main beam components at any time t is nxn It is expressed as:

[0014]

[0015] Preferably, the step S4 constructs a force transmission index threshold matrix H of the old bridge superstructure having n main beam components. nxn The specific steps include:

[0016] Step S41, using orthogonal test design damage conditions, for the old bridge superstructure with n main beam components in the transverse direction, the orthogonal test factors include the stiffness damage EI' of the superstructure main beam and the damage degree μ at the force transmission device i, a total of 2n-1 factors; the factor level is 3 levels, including 0%, 50% and 100%;

[0017] Step S42, according to the damage condition of the upper part of the old bridge designed by orthogonal test, calculate the force transmission index h between the i-th and j-th main beam components under different conditions ij , and then get the force transmission index h ij The interval range [L ij ,U ij ]; among them, L ij =minh ij , U ij =maxh ij , L ij It represents the minimum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design, U ij It represents the maximum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design;

[0018] Step S43, according to the force transmission index h between different components ij The interval range [L ij ,U ij ] Construct the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn , as follows:

[0019]

[0020] Preferably, in step S42, the force transmission index h under different damage conditions of the upper part of the old bridge is ij The calculation method is as follows: Step S421, calculating the displacement ω of the damaged main beam structure under the unit uniform load P;

[0021] Step S422, based on the displacement ω of the main beam structure after damage, calculate the displacement d of the i-th main beam structure under the action of the unit uniformly distributed load P considering the damage of the main beam structure and the damage of the force transmission device i ;

[0022] Step S423, according to the displacement d of the i-th main beam structure i and the jth main beam structure displacement d j Calculate the force transmission index h between the i-th and j-th main beam components ij , as follows:

[0023]

[0024] Preferably, the calculation method of the displacement ω of the damaged main beam structure under the unit uniformly distributed load P in step S421 is as follows:

[0025]

[0026] Among them, l represents the calculated span of the main beam, and EI' represents the stiffness damage of the upper structure.

[0027] Preferably, the displacement d of the i-th main beam structure under the unit uniformly distributed load P in step S422, considering the damage of the main beam structure and the damage of the force transmission device i The calculation method is as follows:

[0028] Step S4221, calculate the shear force q at the force transmission device between each main beam component. For an old bridge structure with n main beam components in the transverse direction, when the unit uniformly distributed load P acts on the i-th main beam component, the shear force q of the force transmission device between each main beam component is calculated as follows:

[0029]

[0030] in,

[0031]

[0032] Δ i,p =Δ i-1,p = -ωi = 1, 2, ..., n-1;

[0033] In the formula, Δ i,p represents the relative displacement caused by the unit uniformly distributed load P on the i-th force transmission device; Δ i,j represents the relative vertical displacement caused by the shear force at the jth force transmission device to the ith force transmission device; μ i Indicates the damage degree of the i-th force transmission device, μ∈[0,100%; ω indicates the displacement of the main beam structure after damage; It indicates the central rotation angle of the main beam component caused by the shear force at the force transmission device; q i represents the shear force at the i-th force transmission device;

[0034] Step S4222, based on the shear force q of the force transmission device between the main beam components, calculate the main beam structure displacement d under the unit uniform load P, the formula is as follows:

[0035] d1 = q1;

[0036] d i-1 =q i-1 -q i-2 ;

[0037] d i =1-q i-1 -q i ;

[0038] d i+1 =q i -q i+1;

[0039] d n =q n-1 .

[0040] Preferably, the abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the superstructure of the old bridge at time t in step S5 is i (t) are as follows:

[0041]

[0042]

[0043] Among them, T nxn (i, j) represents the element in the i-th row and j-th column in the force transmission index threshold matrix.

[0044] On the other hand, the present invention provides a real-time abnormal diagnosis system for displacement monitoring data of the main beam of an old bridge, and the method described is applied, comprising:

[0045] The data acquisition module is used to collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t. Suppose the displacement monitoring data of the i-th main beam component at time t is D i (t), i = 1, 2, ..., n;

[0046] Data processing module, used to monitor displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t);

[0047] The force transmission index calculation module is used to calculate the real-time displacement force transmission index h(t) between the i-th and j-th main beam components of the same section superstructure of the old bridge at time t based on the vertical displacement of n main beam components at any time t. ij , we can get the force transmission index matrix h(t) of the real-time displacement of n main beam components at any time t nxn ;

[0048] Threshold matrix construction module, constructing the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn ;

[0049] The abnormality judgment module is used to construct the abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the superstructure of the old bridge at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i (t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function Fi (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

[0050] On the other hand, the present invention provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the real-time abnormal diagnosis method of the displacement monitoring data of the main beam of the old bridge.

[0051] In the last aspect, the present invention provides a processor, which is used to run a program, wherein the program executes the real-time abnormal diagnosis method of the displacement monitoring data of the main beam of the old bridge when it is running.

[0052] Compared with the prior art, the present invention has the following beneficial effects:

[0053] 1. The force transmission index and force transmission index matrix established by the present invention based on real-time displacement monitoring data can realize the joint characterization of the displacement monitoring relationship of each main beam component, which is convenient for the joint judgment of abnormal data of a single displacement side point and multiple displacement measurement points.

[0054] 2. Based on the force transmission index matrix and the force transmission index threshold matrix, the present invention establishes an abnormality judgment function for the real-time monitoring data of the displacement of each main beam component of the superstructure of the old bridge, which can realize rapid judgment of abnormal real-time displacement monitoring data, can quickly locate components with abnormal monitoring data, and reduce the cost of monitoring system operation and maintenance.

[0055] 3. The present invention enhances the data accuracy of the real-time monitoring system for the displacement of old bridges, timely diagnoses and eliminates misjudgments in bridge structure safety monitoring, and improves the reliability of bridge safety monitoring and safety assessment. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0057] Figure 1 The present invention is a flow chart of the method.

[0058] Figure 2 It is a system principle diagram 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 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] It should be understood that when used in this specification and the appended claims, the terms "include" and "comprises" indicate the presence of described features, integers, steps, operations, elements and / or components, but do not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or combinations thereof.

[0061] It should also be understood that the terms used in the present specification are only for the purpose of describing specific embodiments and are not intended to limit the present invention. As used in the present specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural forms unless the context clearly indicates otherwise.

[0062] It should be further understood that the term "and / or" used in the present description and the appended claims refers to any and all possible combinations of one or more of the associated listed items, and includes these combinations.

[0063] Embodiment 1:

[0064] like Figure 1 As shown, this embodiment provides a real-time abnormal diagnosis method for displacement monitoring data of the main beam of an old bridge, including the following steps:

[0065] Step S1, collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t, and assume that the displacement monitoring data of the i-th main beam component at time t is D i (t), i=1,2,...,n.

[0066] Step S2: monitor the displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t). Specifically, the displacement monitoring data D i (t) Use the improved filtering algorithm to filter and obtain the processed displacement monitoring data D i '(t). The improved filtering algorithm is as follows: first, the displacement monitoring data D i (t) The 3 times standard deviation method is used to determine whether the data is abnormal. If the data is abnormal, the displacement monitoring data is eliminated, and the displacement monitoring data is supplemented by the linear interpolation method, and then mean filtering is performed.

[0067] Step S3, based on the displacement monitoring data D of n main beam components processed at any time t i '(t) Calculate the force transmission index h(t) between the i-th and j-th main beam components of the upper structure of the same section of the old bridge at time t ij , we can get the force transmission index matrix h(t) of n main beam components at any time t nxn ; The force transmission index h(t) between the i-th and j-th main beam components of the superstructure of the old bridge with the same section ij The calculation method is as follows:

[0068]

[0069] The force transmission index matrix h(t) of n main beam components at any time t is nxn It is expressed as:

[0070]

[0071] Step S4, constructing the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn The specific steps include:

[0072] Step S41: Since the old bridge has two conditions, the upper structure is damaged and the force transmission device is damaged, in order to ensure the comprehensive and reasonable range of the threshold value, the orthogonal test is used to design the damage condition. For the upper structure of the old bridge with n main beam components in the transverse direction, the orthogonal test factors include the stiffness damage EI' of the upper structure main beam and the damage degree μ at the force transmission device. i , a total of 2n-1 factors; the factor levels are 3 levels, including 0%, 50% and 100%.

[0073] Step S42, according to the damage condition of the upper part of the old bridge designed by orthogonal test, calculate the force transmission index h between the i-th and j-th main beam components under different conditions ij , and then get the force transmission index h ij The interval range [L ij ,U ij ]; among them, L ij =minh ij , U ij =maxh ij , L ij It represents the minimum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design, U ij It represents the maximum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design.

[0074] Different damage conditions of the upper part of the old bridge Force transmission index h under damage ij The calculation method is as follows:

[0075] Step S421, calculate the displacement ω of the damaged main beam structure under the unit uniform load P; under the repeated action of environmental corrosion and vehicles, the old bridge will be damaged to varying degrees, resulting in a decrease in the stiffness of the main beam of the upper structure. The calculation method of the displacement ω of the damaged main beam structure under the unit uniform load P is as follows:

[0076]

[0077] Among them, l represents the calculated span of the main beam, and EI' represents the stiffness damage of the upper structure.

[0078] Step S422, based on the displacement ω of the main beam structure after damage, calculate the displacement d of the i-th main beam structure under the action of the unit uniformly distributed load P considering the damage of the main beam structure and the damage of the force transmission device i ; Displacement d of the i-th main beam structure considering the damage of the main beam structure and the damage of the force transmission device under the action of unit uniformly distributed load P i The calculation method is as follows:

[0079] Step S4221, calculate the shear force q at the force transmission device between each main beam component. Since the main beams of the same section of the damaged old bridge are connected by a force transmission device, the load distribution in the transverse direction of the bridge is achieved through shear force transmission. The old bridge is prone to damage to the force transmission device during the service of the bridge. For an old bridge structure with n main beam components in the transverse direction of the bridge, when the unit uniformly distributed load P acts on the i-th main beam component, the shear force q of the force transmission device between the main beam components is calculated as follows:

[0080]

[0081] in,

[0082]

[0083] Δ i,p =Δ i-1,p = -ωi = 1, 2, ..., n-1;

[0084] In the formula, Δ i,p represents the relative displacement caused by the unit uniformly distributed load P on the i-th force transmission device; Δ i,j represents the relative vertical displacement caused by the shear force at the jth force transmission device to the ith force transmission device; μ i Indicates the damage degree of the i-th force transmission device, μ∈[0,100%; ω indicates the displacement of the main beam structure after damage; It indicates the central rotation angle of the main beam component caused by the shear force at the force transmission device; q i represents the shear force at the i-th force transmission device;

[0085] Step S4222, based on the shear force q of the force transmission device between the main beam components, calculate the main beam structure displacement d under the unit uniform load P, the formula is as follows:

[0086] d1 = q1;

[0087] d i-1 =q i-1 -q i-2 ;

[0088] d i =1-q i-1 -q i ;

[0089] d i+1 =q i -q i+1 ;

[0090] d n =q n-1 .

[0091] Step S423, according to the displacement d of the i-th main beam structure i and the jth main beam structure displacement d j Calculate the force transmission index h between the i-th and j-th main beam components ij The force transmission index h can characterize the deformation coordination relationship between the main beam components of the same section of the old bridge, and is used for rapid diagnosis of abnormal displacement real-time monitoring data, as follows:

[0092]

[0093] Step S43, according to the force transmission index h between different components ij The interval range [L ij ,U ij ] Construct the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn , as follows:

[0094]

[0095] Step S5, constructing an abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the old bridge superstructure at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i (t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function F i (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

[0096] The abnormal judgment function F of the displacement monitoring data of the i-th main beam component of the old bridge superstructure at time t i (t) are as follows:

[0097]

[0098] Among them, T nxn (i, j) represents the element in the i-th row and j-th column of the force transmission index threshold matrix. If the displacement monitoring data of the main beam of the old bridge superstructure after real-time processing has a force transmission index h ij (i,j) is within the threshold range, then T nxn (i,j) is 0, otherwise it is 1, as follows:

[0099]

[0100] Embodiment 2:

[0101] like Figure 2 As shown, based on the same inventive concept as that of Example 1, this embodiment provides a real-time abnormal diagnosis system for displacement monitoring data of the main beam of an old slab bridge, characterized in that the method described is applied, including:

[0102] The data acquisition module is used to collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t. Suppose the displacement monitoring data of the i-th main beam component at time t is D i (t), i = 1, 2, ..., n;

[0103] Data processing module, used to monitor displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t);

[0104] The force transmission index calculation module is used to calculate the real-time displacement force transmission index h(t) between the i-th and j-th main beam components of the same section superstructure of the old bridge at time t based on the vertical displacement of n main beam components at any time t. ij , we can get the force transmission index matrix h(t) of the real-time displacement of n main beam components at any time t nxn ;

[0105] Threshold matrix construction module, constructing the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn ;

[0106] The abnormality judgment module is used to construct the abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the superstructure of the old bridge at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i(t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function F i (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

[0107] The abnormal real-time diagnosis system of the displacement monitoring data of the main beam of the old bridge in this embodiment can be used to monitor the displacement change of the main beam of the upper structure under the external loads such as vehicles and the environment in real time, and judge the safety status of the old bridge during its service life. It specifically includes hardware and software. The hardware part is a data acquisition module, including sensors and video data acquisition instruments. The sensor includes a multi-point image displacement measurement sensor and a 200mm square passive target. The sampling frequency is ≥20Hz, the measurement accuracy is ±0.2mm, and it can be measured at regular intervals or continuously. The passive target is hoisted at the bottom plate of the main beam structure of the old bridge. For the old bridge with n main beam components in the transverse direction of the bridge, n targets need to be installed to monitor the vertical displacement of each component at the same time. The software system includes a data processing module, a force transmission index calculation module, a threshold matrix construction module, and an abnormality judgment module.

[0108] Embodiment 3:

[0109] Based on the same inventive concept as Example 1, this embodiment provides a computer-readable storage medium, which includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the real-time abnormal diagnosis method of the displacement monitoring data of the main beam of the old bridge.

[0110] Embodiment 4:

[0111] Based on the same inventive concept as that of Example 1, this embodiment provides a processor, which is used to run a program, wherein the program executes the real-time abnormal diagnosis method of the displacement monitoring data of the main beam of the old bridge when it is running.

[0112] Those of ordinary skill in the art will appreciate that the modules of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, computer software, or a combination of the two. In order to clearly illustrate the interchangeability of hardware and software, the composition of each example has been generally described in terms of function in the above description. 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 the present invention.

[0113] In the embodiments provided by the present invention, it should be understood that the division of modules is only a logical function division, and there may be other division methods in actual implementation, for example, multiple modules can be combined into one module, one module can be split into multiple modules, or some features can be ignored, etc.

[0114] In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module. The above integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0115] If the integrated module is implemented in the form of a software function module and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-0nlyMemory), random access memory (RAM, RandomAccessMemory), mobile hard disk, magnetic disk or optical disk, etc., which can store program code.

[0116] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. A real-time abnormal diagnosis method for displacement monitoring data of old bridge main beams, characterized in that: The following steps are involved: Step S1, collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t, and assume that the displacement monitoring data of the i-th main beam component at time t is D i (t), i = 1, 2, ..., n; Step S2: monitor the displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t); Step S3, based on the displacement monitoring data D of n main beam components processed at any time t i '(t) Calculate the force transmission index h(t) between the i-th and j-th main beam components of the upper structure of the same section of the old bridge at time t ij , we can get the force transmission index matrix h(t) of n main beam components at any time t nxn ; Step S4, constructing the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn ; Step S5, constructing an abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the old bridge superstructure at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i (t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function F i (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

2. The method for real-time abnormal diagnosis of displacement monitoring data of an old bridge main beam according to claim 1 is characterized in that: The force transmission index h(t) between the i-th and j-th main beam components of the superstructure of the old bridge with the same section in step S3 ij The calculation method is as follows: The force transmission index matrix h(t) of n main beam components at any time t is nxn It is expressed as:

3. The method for real-time abnormal diagnosis of displacement monitoring data of an old bridge main beam according to claim 1 is characterized in that: The step S4 constructs a force transmission index threshold matrix H of the old bridge superstructure having n main beam components. nxn The specific steps include: Step S41, using orthogonal test design damage conditions, for the old bridge superstructure with n main beam components in the transverse direction, the orthogonal test factors include the stiffness damage EI' of the superstructure main beam and the damage degree μ at the force transmission device i , a total of 2n-1 factors; the factor level is 3 levels, including 0%, 50% and 100%; Step S42, according to the damage condition of the upper part of the old bridge designed by orthogonal test, calculate the force transmission index h between the i-th and j-th main beam components under different conditions ij , and then get the force transmission index h ij The interval range [L ij ,U ij ]; among them, L ij =minh ij , U ij =maxh ij , L ij It represents the minimum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design, U ij It represents the maximum value of the force transmission index between the i-th and j-th main beam components under all damage conditions of the orthogonal test design; Step S43, according to the force transmission index h between different components ij The interval range [L ij ,U ij ] Construct the force transmission index threshold matrix H of the old bridge superstructure with n main beam components nxn , as follows:

4. The method for real-time abnormal diagnosis of displacement monitoring data of an old bridge main beam according to claim 3 is characterized in that: The force transmission index h under different damage conditions of the upper part of the old bridge in step S42 ij The calculation method is as follows: Step S421, calculating the displacement ω of the damaged main beam structure under the unit uniformly distributed load P; Step S422, based on the displacement ω of the main beam structure after damage, calculate the displacement d of the i-th main beam structure under the action of the unit uniformly distributed load P considering the damage of the main beam structure and the damage of the force transmission device i ; Step S423, according to the displacement d of the i-th main beam structure i and the jth main beam structure displacement d j Calculate the force transmission index h between the i-th and j-th main beam components ij , as follows:

5. The method for real-time abnormal diagnosis of displacement monitoring data of old bridge main beams according to claim 4 is characterized in that: The calculation method of the displacement ω of the damaged main beam structure under the unit uniformly distributed load P in step S421 is as follows: Among them, l represents the calculated span of the main beam, and EI' represents the stiffness damage of the upper structure.

6. The method for real-time abnormal diagnosis of displacement monitoring data of old bridge main beams according to claim 5 is characterized in that: The displacement d of the i-th main beam structure under the unit uniformly distributed load P in step S422, considering the damage of the main beam structure and the damage of the force transmission device i The calculation method is as follows: Step S4221, calculate the shear force q at the force transmission device between each main beam component. For an old bridge structure with n main beam components in the transverse direction, when the unit uniformly distributed load P acts on the i-th main beam component, the shear force q of the force transmission device between each main beam component is calculated as follows: in, D i,p =D i-1,p =-ωi=1,2,...,n-1; In the formula, Δ i,p represents the relative displacement caused by the unit uniformly distributed load P on the i-th force transmission device; Δ i,j represents the relative vertical displacement caused by the shear force at the jth force transmission device to the ith force transmission device; μ i Indicates the damage degree of the i-th force transmission device, μ∈[0,100%; ω indicates the displacement of the main beam structure after damage; It indicates the central rotation angle of the main beam component caused by the shear force at the force transmission device; q i represents the shear force at the i-th force transmission device; Step S4222, based on the shear force q of the force transmission device between the main beam components, calculate the main beam structure displacement d under the unit uniform load P, the formula is as follows: d1 = q1; d i-1 =q i-1 -q i-2 ; d i =1-q i-1 -q i ; d i+1 =q i -q i+1 ; d n =q n-1 。 7. The method for real-time abnormal diagnosis of displacement monitoring data of old bridge main beams according to claim 1 is characterized in that: The abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the superstructure of the old bridge at time t in step S5 is i (t) are as follows: Among them, T nxn (i, j) represents the element in the i-th row and j-th column in the force transmission index threshold matrix.

8. A real-time abnormal diagnosis system for displacement monitoring data of old bridge main beams, characterized in that: The method applied to any one of claims 1 to 7, comprising: The data acquisition module is used to collect the vertical displacement of n main beam components in the transverse direction of the upper structure of the same section of the old bridge at any time t. Suppose the displacement monitoring data of the i-th main beam component at time t is D i (t), i = 1, 2, ..., n; Data processing module, used to monitor displacement data D i (t) Processing to obtain the processed displacement monitoring data D i '(t); The force transmission index calculation module is used to calculate the real-time displacement of the force transmission index h(t) between the i-th and j-th main beam components of the same section superstructure of the old bridge at time t according to the vertical displacement of n main beam components at any time t. ij , we can get the force transmission index matrix h(t) of the real-time displacement of n main beam components at any time t nxn ; The threshold matrix construction module is used to construct the force transmission index threshold matrix H of the old bridge superstructure with n main beam components. nxn ; The abnormality judgment module is used to construct the abnormality judgment function F of the displacement monitoring data of the i-th main beam component of the superstructure of the old bridge at time t i (t), when the abnormality judgment function F of the displacement monitoring data of the i-th main beam component at time t i (t) is 0, indicating that there is no abnormality in the displacement monitoring data of the i-th main beam component at time t. When the abnormality judgment function F i (t) is 1, indicating that the displacement monitoring data of the i-th main beam component at time t is abnormal.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is running, the device where the computer-readable storage medium is located is controlled to execute the real-time abnormal diagnosis method for the displacement monitoring data of the main beam of the old bridge as described in any one of claims 1 to 7.

10. A processor, characterized in that: The processor is used to run a program, wherein when the program is running, the method for real-time diagnosis of abnormalities in displacement monitoring data of the main beam of an old bridge as described in any one of claims 1 to 7 is executed.

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