Intelligent bridge monitoring method and system

Abstract

The invention provides a bridge intelligent monitoring method and system. The method comprises the steps of collecting construction process monitoring information of a target swivel bridge in a preset time period, extracting construction process characteristic data, performing processing according to structural deformation characteristic data to obtain a structural deformation index, performing processing according to stress-strain characteristic data to obtain a stress-strain deviation index, and determining the construction process of the target swivel bridge according to the stress-strain deviation index. Processing according to the dynamic characteristic data to obtain a dynamic characteristic index, processing according to the construction load characteristic data to obtain a construction load stability index, and processing according to the spherical hinge state characteristic data and the support state characteristic data to obtain a swivel auxiliary reliability index; according to a structure deformation index, a stress-strain deviation index, a dynamic characteristic index and a construction load stability index, processing is carried out in combination with a swivel auxiliary reliability index, a swivel construction conformity index is obtained, and corresponding adjustment is carried out, so that a bridge intelligent monitoring technology is realized.

Description

Technical Field

[0001] The present application relates to the field of bridge technology, and more specifically, to an intelligent bridge monitoring method and system. Background Art

[0002] The construction of a rotating bridge is a relatively complex construction process. The construction process involves many factors, such as the rotation of the bridge structure, the changes in force at different construction stages, and the influence of the construction environment. At present, the existing monitoring methods often only monitor a single parameter, such as monitoring only displacement or stress, which cannot fully and accurately reflect the overall situation of the bridge construction process. In addition, there is a lack of effective integration and analysis between the monitoring data, making it difficult to provide a comprehensive and reliable basis for construction decisions.

[0003] In view of the above problems, effective technical solutions are urgently needed. Summary of the invention

[0004] The purpose of the present application is to provide a method and system for intelligent monitoring of bridges. The method and system can collect monitoring information of the construction process of a target rotating bridge within a preset time period, extract characteristic data of the construction process, process the data according to the structural deformation characteristic data, obtain the structural deformation index, process the data according to the stress-strain characteristic data, obtain the stress-strain deviation index, process the data according to the dynamic characteristic data, obtain the dynamic characteristic index, process the data according to the construction load characteristic data, obtain the construction load stability index, process the data according to the ball joint state characteristic data and the support state characteristic data, obtain the rotation auxiliary reliability index, process the structural deformation index, the stress-strain deviation index, the dynamic characteristic index and the construction load stability index in combination with the rotation auxiliary reliability index, obtain the rotation construction compliance index, and make corresponding adjustments to realize the technology of intelligent monitoring of bridges.

[0005] The present application also provides a bridge intelligent monitoring method, comprising the following steps: Collect monitoring information of the construction process of the target rotating bridge within a preset time period, and extract characteristic data of the construction process, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, ball joint state characteristic data, and support state characteristic data; Processing the structural deformation characteristic data to obtain a structural deformation index; Processing is performed according to the stress-strain characteristic data to obtain a stress-strain deviation index; Processing the power characteristic data to obtain a power characteristic index; Processing the construction load characteristic data to obtain a construction load stability index; Process the ball hinge state characteristic data and the support state characteristic data to obtain the reliability index of the rotation assistance. Process the structural deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index, and combine them with the rotation assistance reliability index to obtain the compliance index of the rotation construction, and make corresponding adjustments.

[0006] Optionally, in the bridge intelligent monitoring method described in this application, the process of obtaining the structural deformation amount index according to the structural deformation characteristic data includes: The structural deformation characteristic data includes the rotation angle data, the beam end displacement data, and the pier inclination data. Extract and process the rotation angle data to obtain the maximum error data of the rotation angle. Extract and process the bridge displacement data to obtain the maximum error data of the beam end horizontal displacement and the maximum error data of the beam end vertical displacement. Obtain the design allowable value data of the pier inclination, and combine it with the pier inclination data to process and obtain the pier inclination rate data. Process the maximum error data of the rotation angle, the maximum error data of the beam end horizontal displacement, and the maximum error data of the beam end vertical displacement, and combine them with the pier inclination rate data to obtain the structural deformation amount index.

[0007] Optionally, in the bridge intelligent monitoring method described in this application, the process of obtaining the stress-strain deviation index according to the stress-strain characteristic data includes: The stress-strain characteristic data includes the main beam stress data, the pier stress data, and the strain value data. Extract and process the main beam stress data to obtain the maximum tensile stress data and the maximum compressive stress data of the main beam. Obtain the design allowable value data of the main beam tensile stress and the design allowable value data of the main beam compressive stress, and process them respectively in combination with the maximum tensile stress data and the maximum compressive stress data of the main beam to obtain the main beam tensile stress deviation data and the main beam compressive stress deviation data respectively. Extract and process the pier stress data to obtain the maximum tensile stress data and the maximum compressive stress data of the pier. Obtain the design allowable value data of the pier tensile stress and the design allowable value data of the pier compressive stress, and process them respectively in combination with the maximum tensile stress data and the maximum compressive stress data of the pier to obtain the pier tensile stress deviation data and the pier compressive stress deviation data respectively. Statistically process the strain value data to obtain the maximum value data of the strain change rate. Based on the main girder tensile stress deviation data, main girder compressive stress deviation data, pier tensile stress deviation data, and pier compressive stress deviation data, and combined with the maximum strain change rate data for processing, a stress-strain deviation index is obtained.

[0008] Optionally, in the bridge intelligent monitoring method described in this application, the processing based on the dynamic characteristic data to obtain a dynamic characteristic index includes: The dynamic characteristic data includes rotation speed data, rotation vibration frequency data, and rotation amplitude data; Through extraction processing based on the rotation speed data, rotation instantaneous speed extreme difference data and rotation average speed data are obtained; Through extraction processing based on the rotation vibration frequency data and rotation amplitude data, corresponding rotation vibration frequency change rate data and rotation amplitude change rate data are obtained; Based on the rotation instantaneous speed extreme difference data and rotation average speed data, and combined with the rotation vibration frequency change rate data and rotation amplitude change rate data for processing, a dynamic characteristic index is obtained.

[0009] Optionally, in the bridge intelligent monitoring method described in this application, the processing based on the construction load characteristic data to obtain a construction load stability index includes: The construction load characteristic data includes traction force extreme difference data and maximum unbalanced moment data; Obtain the traction force design value data and the bridge anti-overturning moment data; Through statistical processing based on the traction force extreme difference data and the traction force design value data, traction force error rate data is obtained; Through statistical processing based on the maximum unbalanced moment data and the bridge anti-overturning moment data, unbalanced moment deviation data is obtained; Based on the traction force error rate data and the unbalanced moment deviation data for processing, a construction load stability index is obtained.

[0010] Optionally, in the bridge intelligent monitoring method described in this application, the processing based on the structural deformation amount index, stress-strain deviation index, dynamic characteristic index, and construction load stability index, and combined with the rotation auxiliary reliability index for processing, to obtain a rotation construction compliance index and make corresponding adjustments, includes: Based on the structural deformation amount index, stress-strain deviation index, dynamic characteristic index, and construction load stability index, and combined with the rotation auxiliary reliability index, through a preset rotation construction evaluation model for processing, a rotation construction compliance index is obtained; Compare the swivel construction compliance index with a preset swivel construction compliance threshold to obtain a threshold comparison result; Evaluate whether the construction process of the target swivel bridge meets the standards according to the threshold comparison result; If the construction process of the target swivel bridge does not meet the standards, make corresponding adjustments to the construction process of the target swivel bridge.

[0011] In a second aspect, the present application provides a bridge intelligent monitoring system, which includes: a memory and a processor. The memory includes a program for the bridge intelligent monitoring method. When the program for the bridge intelligent monitoring method is executed by the processor, the following steps are implemented: Collect the construction process monitoring information of the target swivel bridge within a preset time period, and extract the construction process characteristic data, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data; Process the structural deformation characteristic data to obtain a structural deformation amount index; Process the stress-strain characteristic data to obtain a stress-strain deviation index; Process the dynamic characteristic data to obtain a dynamic characteristic index; Process the construction load characteristic data to obtain a construction load stability index; Process the spherical hinge state characteristic data and the support state characteristic data to obtain a swivel auxiliary reliability index; Process the structural deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index, and combine them with the swivel auxiliary reliability index to obtain a swivel construction compliance index, and make corresponding adjustments.

[0012] Optionally, in the bridge intelligent monitoring system of the present application, the processing of the structural deformation characteristic data to obtain a structural deformation amount index includes: The structural deformation characteristic data includes swivel angle data, beam end displacement data, and pier inclination data; Extract and process the swivel angle data to obtain the maximum swivel angle error data; Extract and process the bridge displacement data to obtain the maximum horizontal displacement error data and the maximum vertical displacement error data of the beam end; Obtain the allowable design value data of the pier inclination, and process it in combination with the pier inclination data to obtain the pier inclination rate data; Based on the maximum error data of the rotation angle, the maximum error data of the horizontal displacement at the beam end, and the maximum error data of the vertical displacement at the beam end, combined with the pier inclination rate data for processing, a structural deformation index is obtained.

[0013] Optionally, in the bridge intelligent monitoring system described in this application, the processing based on the stress-strain characteristic data to obtain the stress-strain deviation index includes: The stress-strain characteristic data includes main beam stress data, pier stress data, and strain value data; Based on the main beam stress data, extraction and processing are performed to obtain the maximum main beam tensile stress data and the maximum main beam compressive stress data; Obtain the design allowable value data of the main beam tensile stress and the design allowable value data of the main beam compressive stress, and perform processing in combination with the maximum main beam tensile stress data and the maximum main beam compressive stress data respectively to obtain the main beam tensile stress deviation data and the main beam compressive stress deviation data; Based on the pier stress data, extraction and processing are performed to obtain the maximum pier tensile stress data and the maximum pier compressive stress data; Obtain the design allowable value data of the pier tensile stress and the design allowable value data of the pier compressive stress, and perform processing in combination with the maximum pier tensile stress data and the maximum pier compressive stress data respectively to obtain the pier tensile stress deviation data and the pier compressive stress deviation data; Based on the strain value data, statistical processing is performed to obtain the maximum strain change rate data; Based on the main beam tensile stress deviation data, the main beam compressive stress deviation data, the pier tensile stress deviation data, and the pier compressive stress deviation data, combined with the maximum strain change rate data for processing, a stress-strain deviation index is obtained.

[0014] Optionally, in the bridge intelligent monitoring system described in this application, the processing based on the dynamic characteristic data to obtain the dynamic characteristic index includes: The dynamic characteristic data includes the rotation speed data, the rotation vibration frequency data, and the rotation amplitude data; Based on the rotation speed data, extraction and processing are performed to obtain the extreme value data of the instantaneous rotation speed and the average rotation speed; Based on the rotation vibration frequency data and the rotation amplitude data, extraction and processing are performed to obtain the corresponding rotation vibration frequency change rate data and the rotation amplitude change rate data; Based on the extreme value data of the instantaneous rotation speed and the average rotation speed, combined with the rotation vibration frequency change rate data and the rotation amplitude change rate data for processing, a dynamic characteristic index is obtained.

[0015] As can be seen from the above, the bridge intelligent monitoring method and system provided by this application collect the construction process monitoring information of the target rotating bridge within a preset time period, and extract the construction process characteristic data, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data. Process the structural deformation characteristic data to obtain the structural deformation amount index, process the stress-strain characteristic data to obtain the stress-strain deviation index, process the dynamic characteristic data to obtain the dynamic characteristic index, process the construction load characteristic data to obtain the construction load stability index, and process the spherical hinge state characteristic data and the support state characteristic data to obtain the rotation assistance reliability index. Process the structural deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index, and combine with the rotation assistance reliability index to obtain the rotation construction compliance index, and make corresponding adjustments, so as to realize the technology of bridge intelligent monitoring.

[0016] Other features and advantages of this application will be described in the subsequent specification, and part of them will become obvious from the specification, or be understood by implementing the embodiments of this application. The objectives and other advantages of this application can be realized and obtained through the structures specifically pointed out in the written specification and the drawings. Brief Description of the Drawings

[0017] In order to more clearly illustrate the technical solutions of the embodiments of this application, the following will briefly introduce the drawings required to be used in the embodiments of this application. It should be understood that the following drawings only show some embodiments of this application, and therefore should not be regarded as a limitation of the scope. For those of ordinary skill in the art, without creative efforts, other related drawings can also be obtained based on these drawings.

[0018] Figure 1 It is a flowchart of the bridge intelligent monitoring method provided by the embodiment of this application; Figure 2 It is a flowchart of obtaining the structural deformation amount index of the bridge intelligent monitoring method provided by the embodiment of this application; Figure 3 It is a flowchart of obtaining the stress-strain deviation index of the bridge intelligent monitoring method provided by the embodiment of this application; Figure 4 It is a flowchart of obtaining the dynamic characteristic index of the bridge intelligent monitoring method provided by the embodiment of this application. Detailed Embodiments

[0019] Next, the technical solutions in the embodiments of the present application will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. The components of the embodiments of the present application usually described and illustrated in the accompanying drawings here can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application to be protected, but only represents the selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative efforts belong to the scope of protection of the present application.

[0020] It should be noted that similar reference numerals and letters denote similar items in the following drawings. Therefore, once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings. At the same time, in the description of the present application, terms such as "first" and "second" are only used for distinguishing descriptions and cannot be understood as indicating or implying relative importance.

[0021] Please refer to Figure 1 , Figure 1 is a flowchart of the bridge intelligent monitoring method in some embodiments of the present application. This bridge intelligent monitoring method is used in terminal devices, such as computers, mobile phone terminals, etc. This bridge intelligent monitoring method includes the following steps: S11. Collect the construction process monitoring information of the target rotating bridge within a preset time period, and extract the construction process characteristic data, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data; S12. Process the structural deformation characteristic data to obtain a structural deformation amount index; S13. Process the stress-strain characteristic data to obtain a stress-strain deviation degree index; S14. Process the dynamic characteristic data to obtain a dynamic characteristic index; S15. Process the construction load characteristic data to obtain a construction load stability index; S16. Process the spherical hinge state characteristic data and the support state characteristic data to obtain a rotating body assistance reliability index; S17. Process the structural deformation amount index, the stress-strain deviation degree index, the dynamic characteristic index, and the construction load stability index, and combine them with the rotating body assistance reliability index to obtain a rotating body construction compliance index, and make corresponding adjustments.

[0022] It should be noted that the construction of a rotating bridge is a relatively complex construction process, which involves various factors such as the rotation of the bridge structure, the stress changes in different construction stages, and the influence of the construction environment. At present, the existing monitoring methods often only monitor a single parameter, such as only monitoring displacement or stress, and cannot comprehensively and accurately reflect the overall situation during the bridge construction process. Moreover, there is a lack of effective integration and analysis among the monitoring data, making it difficult to provide a comprehensive and reliable basis for construction decisions. Therefore, it is necessary to study an intelligent bridge monitoring method that can comprehensively and accurately reflect the overall situation during the bridge construction process, and achieve effective integration and analysis, providing a comprehensive and reliable basis for construction decisions. In this embodiment, first, the construction process monitoring information of the target rotating bridge within a preset time period is collected, and the construction process characteristic data is extracted, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data. The structural deformation characteristic data is processed to obtain the structural deformation amount index, the stress-strain characteristic data is processed to obtain the stress-strain deviation index, the dynamic characteristic data is processed to obtain the dynamic characteristic index, the construction load characteristic data is processed to obtain the construction load stability index, the spherical hinge state characteristic data and the support state characteristic data are processed to obtain the rotating body auxiliary reliability index, and the structural deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index are combined with the rotating body auxiliary reliability index for processing to obtain the rotating body construction compliance index, and corresponding adjustments are made, thereby realizing the technology of intelligent bridge monitoring.

[0023] Please refer to Figure 2 , Figure 2 is a flowchart of obtaining the structural deformation amount index of the intelligent bridge monitoring method in some embodiments of the present application. According to an embodiment of the present invention, the processing the structural deformation characteristic data to obtain the structural deformation amount index includes: S21. The structural deformation characteristic data includes the rotating body angle data, the beam end displacement data, and the pier inclination data; S22. Extract and process the rotating body angle data to obtain the maximum error data of the rotating body angle; S23. Extract and process the bridge displacement data to obtain the maximum error data of the beam end horizontal displacement and the maximum error data of the beam end vertical displacement; S24. Obtain the design allowable value data of the pier inclination, and process it in combination with the pier inclination data to obtain the pier inclination rate data; S25. Process the maximum error data of the rotating body angle, the maximum error data of the beam end horizontal displacement, and the maximum error data of the beam end vertical displacement in combination with the pier inclination rate data to obtain the structural deformation amount index.

[0024] It should be noted that the structural deformation indexes in the construction process of the swivel bridge need to be monitored, including the swivel angle, beam end displacement, and pier inclination data. The swivel angle reflects the actual progress and position of the bridge swivel and is a key index for controlling the swivel construction accuracy. Generally, the error of the swivel angle is required to be controlled within the design requirements, such as ±0.1° or less. The beam end displacement includes the horizontal displacement and vertical displacement at the beam end. Excessive horizontal displacement may cause the beam body to collide with surrounding objects, and abnormal vertical displacement may affect the smoothness of the bridge and the structural force. Usually, the error of the beam end horizontal displacement is required to be controlled within ±10 mm, and the error of the vertical displacement is required to be controlled within ±5 mm. The pier inclination is used to monitor whether the pier shows abnormal inclination during the swivel process. Excessive inclination may cause the pier to become unstable. Generally, it is stipulated that the pier inclination shall not exceed the design allowable value, such as the inclination rate not exceeding 0.1%. After extraction or statistical processing, the maximum error data of the swivel angle, the maximum error data of the beam end horizontal displacement, the maximum error data of the beam end vertical displacement, and the pier inclination rate data are obtained, and further processed through a calculation formula to obtain the structural deformation quantity index; Among them, the calculation formula of the structural deformation quantity index is: ; Among them, is the structural deformation quantity index, is the maximum error data of the swivel angle, 、 are the maximum error data of the beam end horizontal displacement and the maximum error data of the beam end vertical displacement respectively, is the pier inclination rate data, 、 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0025] Please refer to Figure 3 , Figure 3 is the flowchart of obtaining the stress-strain deviation degree index of the bridge intelligent monitoring method in some embodiments of this application. According to the embodiments of the present invention, processing the stress-strain characteristic data to obtain the stress-strain deviation degree index: S31. The stress-strain characteristic data includes main beam stress data, pier stress data, and strain value data; S32. Extract and process according to the main beam stress data to obtain the maximum tensile stress data and the maximum compressive stress data of the main beam; S33. Obtain the allowable design value data of the main girder tensile stress and the allowable design value data of the main girder compressive stress, and process them respectively in combination with the maximum main girder tensile stress data and the maximum main girder compressive stress data to correspondingly obtain the deviation degree data of the main girder tensile stress and the deviation degree data of the main girder compressive stress; S34. Extract and process the pier stress data to obtain the maximum pier tensile stress data and the maximum pier compressive stress data; S35. Obtain the allowable design value data of the pier tensile stress and the allowable design value data of the pier compressive stress, and process them respectively in combination with the maximum pier tensile stress data and the maximum pier compressive stress data to correspondingly obtain the deviation degree data of the pier tensile stress and the deviation degree data of the pier compressive stress; S36. Statistically process the strain value data to obtain the maximum strain change rate data; S37. Process the deviation degree data of the main girder tensile stress, the deviation degree data of the main girder compressive stress, the deviation degree data of the pier tensile stress, and the deviation degree data of the pier compressive stress in combination with the maximum strain change rate data to obtain the stress-strain deviation degree index.

[0026] It should be noted that it is necessary to monitor the stress-strain indexes during the construction process of the rotating bridge, including the main girder stress, the pier stress, and the strain value data. The main girder is the main load-bearing structure of the bridge, and its stress state is directly related to the safety of the bridge. During the rotating construction process, the stress at the key parts of the main girder should be controlled within the allowable stress range of the material. For example, the tensile stress of the concrete main girder does not exceed 1.5 MPa, and the compressive stress does not exceed 80% of the design strength. By comparing with the corresponding allowable design values, the corresponding stress deviation degree data can be obtained. When the pier bears the self-weight of the bridge and the rotating load, the stress distribution should be uniform and reasonable to avoid stress concentration. Generally, it is required that the maximum compressive stress of the pier does not exceed 70% of the design value of the concrete compressive strength, and the tensile stress does not exceed 0.5 MPa. By comparing with the corresponding allowable design values, the corresponding stress deviation degree data can be obtained. Among them, the deviation degree = (maximum stress - allowable design value of stress) / allowable design value of stress * 100%. And the strain changes at the key parts such as the connection between the main girder and the pier and the spherical hinge part of the rotating structure can reflect the actual stress state of the structure. The strain values at these parts should be within the allowable range of the design calculation. Generally, it is required that the strain change rate does not exceed ±50 με. Therefore, it is necessary to statistically process all the strain value data to obtain the maximum strain change rate data. After extraction or statistical processing, the deviation degree data of the main girder tensile stress, the deviation degree data of the main girder compressive stress, the deviation degree data of the pier tensile stress, the deviation degree data of the pier compressive stress, and the maximum strain change rate data are obtained. Further processing through the calculation formula, the stress-strain deviation degree index is obtained; Among them, the calculation formula of the stress-strain deviation degree index is: ; wherein, is the stress-strain deviation index, , are respectively the deviating degree data of the tensile stress of the main beam and the deviating degree data of the compressive stress of the main beam, , are respectively the deviating degree data of the tensile stress of the pier and the deviating degree data of the compressive stress of the pier, is the maximum value data of the strain change rate, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0027] Please refer to Figure 4 , Figure 4 which is a flowchart for obtaining the dynamic characteristic index of the bridge intelligent monitoring method in some embodiments of the present application. According to the embodiments of the present invention, the processing of the dynamic characteristic data to obtain the dynamic characteristic index includes: S41. The dynamic characteristic data includes the rotating speed data, the rotating vibration frequency data, and the rotating amplitude data; S42. Extract and process according to the rotating speed data to obtain the extreme value data of the instantaneous rotating speed and the average rotating speed data; S43. Extract and process according to the rotating vibration frequency data and the rotating amplitude data to obtain the corresponding rotating vibration frequency change rate data and the rotating amplitude change rate data; S44. Process according to the extreme value data of the instantaneous rotating speed and the average rotating speed data, combined with the rotating vibration frequency change rate data and the rotating amplitude change rate data, to obtain the dynamic characteristic index.

[0028] It should be noted that it is necessary to monitor the dynamic characteristic indexes during the construction process of the rotating bridge, including the rotating speed, the rotating vibration frequency, and the rotating amplitude data. The rotating speed includes the average rotating speed and the instantaneous rotating speed. The average rotating speed is used to control the construction progress, and the instantaneous rotating speed can reflect the smoothness of the rotating process. Generally, it is required that the average rotating speed be controlled between 0.5° / min and 1° / min, and the fluctuation range of the instantaneous rotating speed does not exceed ±20% of the average speed. The vibration frequency and amplitude are the vibration frequency and amplitude during the rotating process of the bridge, which can analyze the vibration characteristics of the structure and judge whether there is abnormal vibration. The change rate of the rotating vibration frequency refers to the ratio of the change amount of the vibration frequency to the change amount of the corresponding time interval or other relevant variables during the rotating process of the rotating bridge, which is used to reflect the change speed and trend of the vibration frequency with time or other factors. The change rate of the rotating amplitude refers to the ratio of the change amount of the amplitude to the change amount of the corresponding time interval or other relevant variables during the rotating process of the rotating bridge. It reflects the change trend and speed of the amplitude in a certain stage. After extraction or statistical processing, the extreme difference data of the instantaneous rotating speed, the average rotating speed data, the change rate data of the rotating vibration frequency, and the change rate data of the rotating amplitude are obtained, and further processed through the calculation formula to obtain the dynamic characteristic index; Among them, the calculation formula of the dynamic characteristic index is: ; Among them, is the dynamic characteristic index, 、 are the extreme difference data of the instantaneous rotating speed and the average rotating speed data of the rotating body respectively, 、 are the change rate data of the rotating vibration frequency and the change rate data of the rotating amplitude of the rotating body respectively, 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0029] According to the embodiments of the present invention, the processing of the construction load characteristic data to obtain the construction load stability index includes: The construction load characteristic data includes the extreme difference data of the traction force and the maximum value data of the unbalanced moment; Obtain the traction force design value data and the bridge anti-overturning moment data; According to the extreme difference data of the traction force and the traction force design value data, perform statistical processing to obtain the traction force error rate data; According to the maximum value data of the unbalanced moment and the bridge anti-overturning moment data, perform statistical processing to obtain the unbalanced moment deviation degree data; Process the traction error rate data and the unbalanced moment deviation data to obtain the construction load stability index.

[0030] It should be noted that it is necessary to monitor the construction load indicators during the construction process of the rotating bridge, including the traction force and the unbalanced moment data. The traction force is a key factor to ensure the smooth rotation of the bridge. The traction force should be reasonably calculated and controlled according to factors such as the weight of the bridge, the rotation radius, and the friction coefficient. Generally, it is required that the error of the traction force be controlled within ±10% of the design value. Due to the complexity of the bridge structure and the uncertainty of the construction process, unbalanced moments may occur. Excessive unbalanced moments will affect the stability of the rotating structure. Generally, it is required that the unbalanced moment be controlled within 10% of the anti-overturning moment of the bridge. After extraction or statistical processing, the extreme difference data of the instantaneous rotation speed, the average rotation speed data, the change rate data of the rotation vibration frequency, and the change rate data of the rotation amplitude are obtained, and further processed through a calculation formula to obtain the construction load stability index; Among them, the calculation formula of the construction load stability index is: ; Among them, is the construction load stability index, , are the traction error rate data and the unbalanced moment deviation data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0031] According to the embodiments of the present invention, the structure deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index are processed in combination with the rotating body auxiliary reliability index to obtain the rotating body construction compliance index and make corresponding adjustments, including: Process the structure deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index in combination with the rotating body auxiliary reliability index through a preset rotating body construction evaluation model to obtain the rotating body construction compliance index; Compare the rotating body construction compliance index with a preset rotating body construction compliance threshold to obtain a threshold comparison result; Evaluate whether the construction process of the target rotating bridge meets the standards according to the threshold comparison result; If the construction process of the target rotating bridge does not meet the standards, make corresponding adjustments to the construction process of the target rotating bridge.

[0032] It should be noted that according to the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, and construction load stability index, combined with the rotation assistance reliability index, through the calculation formula of the preset rotation construction evaluation model for processing, the rotation construction compliance index is obtained, and then compared with the preset rotation construction compliance threshold to obtain the threshold comparison result. According to the threshold comparison result, it is evaluated whether the construction process of the target rotation bridge meets the standard. If the construction process of the target rotation bridge does not meet the standard, the construction process of the target rotation bridge is adjusted accordingly to ensure that the construction process meets the standard, providing a comprehensive and reliable basis for construction decision-making; Among them, the calculation formula of the rotation construction compliance index is: ; Among them, is the rotation construction compliance index, , , , , are respectively the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, construction load stability index, and rotation assistance reliability index, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bridge monitoring platform).

[0033] According to the embodiments of the present invention, it further includes: Processing the ball joint state characteristic data and the support state characteristic data to obtain the rotation assistance reliability index, specifically including: The ball joint state characteristic data includes the maximum ball joint stress data and the maximum ball joint radial deformation data; Obtain the ball joint yield strength data, and perform statistical processing in combination with the maximum ball joint stress data to obtain the ball joint stress deviation degree data; Obtain the allowable ball joint deformation design value data, and process it in combination with the maximum ball joint radial deformation data to obtain the ball joint deformation deviation degree data; The support state characteristic data includes the extreme difference data of the support foot force and the average value data of the support foot force; According to the ball joint stress deviation degree data and the ball joint deformation deviation degree data, combined with the extreme difference data of the support foot force and the average value data of the support foot force for processing, obtain the rotation assistance reliability index; Among them, the calculation formula of the rotation assistance reliability index is: ; Among them, is the rotation assistance reliability index, , are respectively the ball hinge stress deviation data and the ball hinge deformation deviation data, , are respectively the extreme difference data of the strut force and the average value data of the strut force, , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset bridge monitoring platform).

[0034] It should be noted that it is necessary to monitor the indexes of the ball hinge and the support system during the construction process of the rotating bridge, including the stress and deformation of the ball hinge and the force data of the struts. The ball hinge is a key component of the rotating bridge, and its stress distribution and deformation directly affect the safety and reliability of the rotation. The maximum stress of the ball hinge should not exceed the yield strength of the material, and the deformation should be controlled within the allowable range of the design. For example, the radial deformation of the ball hinge does not exceed ±2 mm. The struts play an auxiliary supporting and stabilizing role during the rotation process, and their forces should be uniform and reasonable to avoid the situation that the force of individual struts is too large or too small. Generally, it is required that the force deviation of the struts does not exceed ±20% of the average force. After extraction or statistical processing, the ball hinge stress deviation data, the ball hinge deformation deviation data, the extreme difference data of the strut force, and the average value data of the strut force are obtained, and further processed through a calculation formula to obtain the auxiliary reliability index of the rotation.

[0035] According to an embodiment of the present invention, it further includes: Obtain the environmental characteristic data of the area where the target rotating bridge is located during the preset time period, including the extreme difference data of temperature, the extreme difference data of humidity, and the maximum wind speed data; Process the extreme difference data of temperature, the extreme difference data of humidity, and the maximum wind speed data to obtain an environmental factor compensation coefficient; Compare the environmental factor compensation coefficient with a preset environmental factor compensation threshold to obtain a threshold comparison result; Judge whether the rotation construction compliance index needs to be corrected for environmental factors according to the threshold comparison result; If the threshold comparison result is greater than the preset value, process according to the environmental factor compensation coefficient and the rotation construction compliance index to obtain a corrected rotation construction compliance index; Among them, the calculation formula of the environmental factor compensation coefficient is: ; Among them, is the environmental factor compensation coefficient, , , They are the temperature extreme difference data, the humidity extreme difference data, and the maximum wind speed data respectively. , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform); Among them, the calculation formula for the corrected rotation construction compliance index is: ; Among them, is the corrected rotation construction compliance index, , are the rotation construction compliance index and the environmental factor compensation coefficient respectively, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset bridge monitoring platform).

[0036] It should be noted that by monitoring the changes in environmental factors such as temperature, humidity, and wind speed, and analyzing the influence laws of environmental factors on the deformation, stress, etc. of the bridge structure, when the comprehensive analysis of environmental factors shows that their influence exceeds the preset threshold, then a corresponding compensation algorithm needs to be used to correct the monitoring data to eliminate the interference of environmental factors and improve the monitoring accuracy. That is, the environmental factor compensation coefficient is obtained by processing the temperature extreme difference data, the humidity extreme difference data, and the maximum wind speed data, and then the rotation construction compliance index is corrected according to the environmental factor compensation coefficient to obtain the corrected rotation construction compliance index.

[0037] In a second aspect, the present invention also discloses a bridge intelligent monitoring system, including a memory and a processor. The memory includes a bridge intelligent monitoring method program. When the bridge intelligent monitoring method program is executed by the processor, the following steps are implemented: Collect the construction process monitoring information of the target rotating bridge within a preset time period, and extract the construction process characteristic data, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data; Process the structural deformation characteristic data to obtain a structural deformation amount index; Process the stress-strain characteristic data to obtain a stress-strain deviation index; Process the dynamic characteristic data to obtain a dynamic characteristic index; Process the construction load characteristic data to obtain a construction load stability index; Process the spherical hinge state characteristic data and the support state characteristic data to obtain a rotation assistance reliability index; According to the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, and construction load stability index, combined with the rotation assistance reliability index, processing is performed to obtain the rotation construction compliance index, and corresponding adjustments are made.

[0038] It should be noted that the construction of a rotating bridge is a relatively complex construction process, which involves various factors such as the rotation of the bridge structure, the force changes in different construction stages, and the influence of the construction environment. At present, existing monitoring methods often only monitor a single parameter, such as only monitoring displacement or stress, and cannot comprehensively and accurately reflect the overall situation during the bridge construction process. Moreover, there is a lack of effective integration and analysis among the monitoring data, making it difficult to provide a comprehensive and reliable basis for construction decisions. Therefore, it is necessary to study an intelligent bridge monitoring method that can comprehensively and accurately reflect the overall situation during the bridge construction process, achieve effective integration and analysis, and provide a comprehensive and reliable basis for construction decisions. In this embodiment, first, the construction process monitoring information of the target rotating bridge within a preset time period is collected, and the construction process characteristic data is extracted, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data. According to the structural deformation characteristic data, processing is performed to obtain the structural deformation amount index. According to the stress-strain characteristic data, processing is performed to obtain the stress-strain deviation degree index. According to the dynamic characteristic data, processing is performed to obtain the dynamic characteristic index. According to the construction load characteristic data, processing is performed to obtain the construction load stability index. According to the spherical hinge state characteristic data and the support state characteristic data, processing is performed to obtain the rotation assistance reliability index. According to the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, and construction load stability index, combined with the rotation assistance reliability index, processing is performed to obtain the rotation construction compliance index, and corresponding adjustments are made, so as to realize the technology of intelligent bridge monitoring.

[0039] According to an embodiment of the present invention, the processing according to the structural deformation characteristic data to obtain the structural deformation amount index includes: The structural deformation characteristic data includes rotation angle data, beam end displacement data, and pier inclination data; According to the rotation angle data, extraction processing is performed to obtain the maximum rotation angle error data; According to the bridge displacement data, extraction processing is performed to obtain the maximum horizontal displacement error data and the maximum vertical displacement error data of the beam end; Obtain the designed allowable value data of the pier inclination, and combine it with the pier inclination data for processing to obtain the pier inclination rate data; Based on the maximum error data of the rotation angle, the maximum error data of the horizontal displacement at the beam end, and the maximum error data of the vertical displacement at the beam end, combined with the pier inclination rate data for processing, a structural deformation index is obtained.

[0040] It should be noted that it is necessary to monitor the structural deformation indicators during the construction process of the rotating bridge, including the rotation angle, the displacement at the beam end, and the pier inclination data. The rotation angle reflects the actual progress and position of the bridge rotation and is a key indicator for controlling the rotation construction accuracy. Generally, it is required that the error of the rotation angle be controlled within the design requirements, such as ±0.1° or less. The displacement at the beam end includes the horizontal displacement and the vertical displacement at the beam end. Excessive horizontal displacement may cause the beam body to collide with surrounding objects, and abnormal vertical displacement may affect the smoothness and structural stress of the bridge. Usually, it is required that the error of the horizontal displacement at the beam end be controlled within ±10 mm, and the error of the vertical displacement be controlled within ±5 mm. The pier inclination is used to monitor whether the pier shows abnormal inclination during the rotation process. Excessive inclination may cause the pier to become unstable. Generally, it is stipulated that the pier inclination shall not exceed the design allowable value, such as the inclination rate not exceeding 0.1%. After extraction or statistical processing, the maximum error data of the rotation angle, the maximum error data of the horizontal displacement at the beam end, the maximum error data of the vertical displacement at the beam end, and the pier inclination rate data are obtained. Further processing through the calculation formula, a structural deformation index is obtained; Among them, the calculation formula for the structural deformation index is: ; Among them, is the structural deformation index, is the maximum error data of the rotation angle, 、 are the maximum error data of the horizontal displacement at the beam end and the maximum error data of the vertical displacement at the beam end respectively, is the pier inclination rate data, 、 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bridge monitoring platform).

[0041] According to the embodiments of the present invention, the stress-strain deviation index is obtained by processing the stress-strain characteristic data: The stress-strain characteristic data includes the main beam stress data, the pier stress data, and the strain value data; Based on the extraction and processing of the main beam stress data, the maximum tensile stress data and the maximum compressive stress data of the main beam are obtained; Obtain the allowable design value data of the main girder tensile stress and the allowable design value data of the main girder compressive stress, and process them respectively in combination with the maximum main girder tensile stress data and the maximum main girder compressive stress data to obtain the deviation degree data of the main girder tensile stress and the deviation degree data of the main girder compressive stress respectively; Extract and process according to the pier stress data to obtain the maximum pier tensile stress data and the maximum pier compressive stress data; Obtain the allowable design value data of the pier tensile stress and the allowable design value data of the pier compressive stress, and process them respectively in combination with the maximum pier tensile stress data and the maximum pier compressive stress data to obtain the deviation degree data of the pier tensile stress and the deviation degree data of the pier compressive stress respectively; Conduct statistical processing according to the strain value data to obtain the maximum strain change rate data; Process according to the deviation degree data of the main girder tensile stress, the deviation degree data of the main girder compressive stress, the deviation degree data of the pier tensile stress, and the deviation degree data of the pier compressive stress, in combination with the maximum strain change rate data, to obtain the stress-strain deviation degree index.

[0042] It should be noted that it is necessary to monitor the stress-strain indicators during the construction process of the rotating bridge, including the main girder stress, pier stress, and strain value data. The main girder is the main load-bearing structure of the bridge, and its stress state is directly related to the safety of the bridge. During the rotating construction process, the stress at the key parts of the main girder should be controlled within the allowable stress range of the material. For example, the tensile stress of the concrete main girder does not exceed 1.5 MPa, and the compressive stress does not exceed 80% of the design strength. By comparing with the corresponding allowable design values, the corresponding stress deviation degree data can be obtained. When the pier bears the self-weight of the bridge and the rotating load, the stress distribution should be uniform and reasonable, avoiding stress concentration. Generally, it is required that the maximum compressive stress of the pier does not exceed 70% of the design value of the concrete compressive strength, and the tensile stress does not exceed 0.5 MPa. By comparing with the corresponding allowable design values, the corresponding stress deviation degree data can be obtained. Among them, the deviation degree = (maximum stress - allowable design value of stress) / allowable design value of stress * 100%. And the strain changes at key parts such as the connection between the main girder and the pier and the spherical hinge part of the rotating structure can reflect the actual stress state of the structure. The strain values at these parts should be within the allowable range of the design calculation. Generally, it is required that the strain change rate does not exceed ±50 με. Therefore, it is necessary to conduct statistical processing on all strain value data to obtain the maximum strain change rate data. After extraction or statistical processing, the deviation degree data of the main girder tensile stress, the deviation degree data of the main girder compressive stress, the deviation degree data of the pier tensile stress, the deviation degree data of the pier compressive stress, and the maximum strain change rate data are obtained. Further processing through the calculation formula, the stress-strain deviation degree index is obtained; Among them, the calculation formula of the stress-strain deviation degree index is: ; Among them, is the stress-strain deviation index, , are respectively the deviating degree data of the tensile stress of the main girder and the deviating degree data of the compressive stress of the main girder, , are respectively the deviating degree data of the tensile stress of the pier and the deviating degree data of the compressive stress of the pier, is the maximum value data of the strain change rate, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0043] According to the embodiments of the present invention, the processing of the dynamic characteristic data to obtain the dynamic characteristic index includes: The dynamic characteristic data includes the rotation speed data, the rotation vibration frequency data, and the rotation amplitude data; Performing extraction processing according to the rotation speed data to obtain the extreme value data of the instantaneous rotation speed and the average rotation speed data; Performing extraction processing according to the rotation vibration frequency data and the rotation amplitude data to obtain the corresponding rotation vibration frequency change rate data and the rotation amplitude change rate data; Performing processing according to the extreme value data of the instantaneous rotation speed and the average rotation speed data, in combination with the rotation vibration frequency change rate data and the rotation amplitude change rate data, to obtain the dynamic characteristic index.

[0044] It should be noted that it is necessary to monitor the dynamic characteristic indexes in the construction process of the swivel bridge, including the swivel speed, the swivel vibration frequency, and the swivel amplitude data. The swivel speed includes the average swivel speed and the instantaneous swivel speed. The average swivel speed is used to control the construction progress, and the instantaneous swivel speed can reflect the smoothness of the swivel process. Generally, it is required that the average swivel speed be controlled between 0.5° / min - 1° / min, and the fluctuation range of the instantaneous swivel speed does not exceed ±20% of the average speed. The vibration frequency and amplitude are the vibration frequency and amplitude monitored during the swivel process of the bridge, which can analyze the vibration characteristics of the structure and judge whether there is abnormal vibration. The change rate of the swivel vibration frequency refers to the ratio of the change amount of the vibration frequency to the change amount of the corresponding time interval or other relevant variables during the swivel process of the swivel bridge, which is used to reflect the change speed and trend of the vibration frequency with time or other factors. The change rate of the swivel amplitude refers to the ratio of the change amount of the amplitude to the change amount of the corresponding time interval or other relevant variables during the swivel process of the swivel bridge. It reflects the change trend and speed of the amplitude in a certain stage. After extraction or statistical processing, the extreme difference data of the swivel instantaneous speed, the swivel average speed data, the change rate data of the swivel vibration frequency, and the change rate data of the swivel amplitude are obtained, and further processed through calculation formulas to obtain the dynamic characteristic index; Among them, the calculation formula of the dynamic characteristic index is: ; Among them, is the dynamic characteristic index, 、 are the extreme difference data of the swivel instantaneous speed and the swivel average speed data respectively, 、 are the change rate data of the swivel vibration frequency and the change rate data of the swivel amplitude respectively, 、 、 are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bridge monitoring platform).

[0045] According to the embodiment of the present invention, the processing of the construction load characteristic data to obtain the construction load stability index includes: The construction load characteristic data includes the extreme difference data of the traction force and the maximum value data of the unbalanced moment; Obtain the traction force design value data and the bridge anti-overturning moment data; According to the extreme difference data of the traction force and the traction force design value data, perform statistical processing to obtain the traction force error rate data; According to the maximum value data of the unbalanced moment and the bridge anti-overturning moment data, perform statistical processing to obtain the unbalanced moment deviation data; Process the traction error rate data and the unbalanced moment deviation data to obtain the construction load stability index.

[0046] It should be noted that it is necessary to monitor the construction load indicators during the construction process of the rotating bridge, including the traction force and the unbalanced moment data. The traction force is a key factor to ensure the smooth rotation of the bridge. The traction force should be reasonably calculated and controlled according to factors such as the weight of the bridge, the rotation radius, and the friction coefficient. Generally, it is required that the error of the traction force be controlled within ±10% of the design value. Due to the complexity of the bridge structure and the uncertainty of the construction process, unbalanced moments may occur. Excessive unbalanced moments will affect the stability of the rotating structure. Generally, it is required that the unbalanced moment be controlled within 10% of the anti-overturning moment of the bridge. After extraction or statistical processing, the extreme value data of the instantaneous rotation speed, the average rotation speed data, the change rate data of the rotation vibration frequency, and the change rate data of the rotation amplitude are obtained, and further processed through the calculation formula to obtain the construction load stability index; Among them, the calculation formula of the construction load stability index is: ; Among them, is the construction load stability index, , are the traction error rate data and the unbalanced moment deviation data respectively, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform).

[0047] According to the embodiments of the present invention, the structure deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index are processed in combination with the rotating body auxiliary reliability index to obtain the rotating body construction compliance index and perform corresponding adjustments, including: Process the structure deformation amount index, the stress-strain deviation index, the dynamic characteristic index, and the construction load stability index in combination with the rotating body auxiliary reliability index through a preset rotating body construction evaluation model to obtain the rotating body construction compliance index; Compare the rotating body construction compliance index with a preset rotating body construction compliance threshold to obtain a threshold comparison result; Evaluate whether the construction process of the target rotating bridge meets the standards according to the threshold comparison result; If the construction process of the target rotating bridge does not meet the standards, make corresponding adjustments to the construction process of the target rotating bridge.

[0048] It should be noted that according to the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, and construction load stability index, combined with the rotation assistance reliability index, the calculation formula of the preset rotation construction evaluation model is processed to obtain the rotation construction compliance index, and then compared with the preset rotation construction compliance threshold to obtain the threshold comparison result. According to the threshold comparison result, it is evaluated whether the construction process of the target rotation bridge meets the standard. If the construction process of the target rotation bridge does not meet the standard, the construction process of the target rotation bridge is adjusted accordingly to ensure that the construction process meets the standard, providing a comprehensive and reliable basis for construction decision-making; Among them, the calculation formula of the rotation construction compliance index is: ; Among them, is the rotation construction compliance index, , , , , are respectively the structural deformation amount index, stress-strain deviation degree index, dynamic characteristic index, construction load stability index, and rotation assistance reliability index, , , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying the preset bridge monitoring platform).

[0049] According to the embodiments of the present invention, it further includes: Processing the ball joint state characteristic data and the support state characteristic data to obtain the rotation assistance reliability index, specifically including: The ball joint state characteristic data includes the maximum ball joint stress data and the maximum ball joint radial deformation data; Obtain the ball joint yield strength data, and perform statistical processing in combination with the maximum ball joint stress data to obtain the ball joint stress deviation degree data; Obtain the allowable ball joint deformation design value data, and process it in combination with the maximum ball joint radial deformation data to obtain the ball joint deformation deviation degree data; The support state characteristic data includes the extreme difference data of the strut foot force and the average value data of the strut foot force; According to the ball joint stress deviation degree data and the ball joint deformation deviation degree data, and in combination with the extreme difference data of the strut foot force and the average value data of the strut foot force, process to obtain the rotation assistance reliability index; Among them, the calculation formula of the rotation assistance reliability index is: ; Among them, is the rotation assistance reliability index, , are respectively the spherical hinge stress deviation data and the spherical hinge deformation deviation data, , are respectively the strut force extreme difference data and the strut force average value data, , , , is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset bridge monitoring platform).

[0050] It should be noted that it is necessary to monitor the spherical hinge and support system indexes during the construction process of the rotating bridge, including spherical hinge stress and deformation and strut force data. The spherical hinge is a key component of the rotating bridge, and its stress distribution and deformation directly affect the safety and reliability of the rotation. The maximum stress of the spherical hinge should not exceed the yield strength of the material, and the deformation amount should be controlled within the design allowable range. For example, the radial deformation of the spherical hinge does not exceed ±2 mm. The struts play an auxiliary support and stabilization role during the rotation process, and their forces should be uniform and reasonable to avoid the situation where the force on individual struts is too large or too small. Generally, it is required that the force deviation of the struts does not exceed ±20% of the average force. After extraction or statistical processing, the spherical hinge stress deviation data, the spherical hinge deformation deviation data, the strut force extreme difference data, and the strut force average value data are obtained, and further processed through a calculation formula to obtain the auxiliary reliability index of the rotation.

[0051] According to an embodiment of the present invention, it further includes: Obtain the environmental characteristic data of the area where the target rotating bridge is located during the preset time period, including the temperature extreme difference data, the humidity extreme difference data, and the maximum wind speed data; Process the temperature extreme difference data, the humidity extreme difference data, and the maximum wind speed data to obtain an environmental factor compensation coefficient; Compare the environmental factor compensation coefficient with a preset environmental factor compensation threshold to obtain a threshold comparison result; Judge whether the rotation construction compliance index needs to be corrected for environmental factors according to the threshold comparison result; If the threshold comparison result is greater than a preset value, process according to the environmental factor compensation coefficient and the rotation construction compliance index to obtain a corrected rotation construction compliance index; Among them, the calculation formula of the environmental factor compensation coefficient is: ; Among them, is the environmental factor compensation coefficient, , , They are respectively the temperature extreme difference data, the humidity extreme difference data, and the maximum wind speed data, , , are preset characteristic coefficients (the characteristic coefficients are obtained by querying through a preset bridge monitoring platform); Among them, the calculation formula of the corrected rotation construction compliance index is: ; Among them, is the corrected rotation construction compliance index, , are respectively the rotation construction compliance index and the environmental factor compensation coefficient, is a preset characteristic coefficient (the characteristic coefficient is obtained by querying through a preset bridge monitoring platform).

[0052] It should be noted that by monitoring the changes in environmental factors such as temperature, humidity, and wind speed, analyzing the influence laws of environmental factors on the structural deformation, stress, etc. of the bridge, when the comprehensive analysis of environmental factors exceeds the preset threshold, then it is necessary to use the corresponding compensation algorithm to correct the monitoring data, eliminate the interference of environmental factors, and improve the monitoring accuracy, that is, process the temperature extreme difference data, humidity extreme difference data, and maximum wind speed data to obtain the environmental factor compensation coefficient, and then correct the rotation construction compliance index according to the environmental factor compensation coefficient to obtain the corrected rotation construction compliance index.

[0053] The bridge intelligent monitoring method and system disclosed by the present invention collect the construction process monitoring information of the target rotating bridge within a preset time period, and extract the construction process characteristic data, including structural deformation characteristic data, stress and strain characteristic data, dynamic characteristic data, construction load characteristic data, spherical hinge state characteristic data, and support state characteristic data. Process according to the structural deformation characteristic data to obtain the structural deformation amount index, process according to the stress and strain characteristic data to obtain the stress and strain deviation index, process according to the dynamic characteristic data to obtain the dynamic characteristic index, process according to the construction load characteristic data to obtain the construction load stability index, process according to the spherical hinge state characteristic data and the support state characteristic data to obtain the rotation assistance reliability index, and process according to the structural deformation amount index, stress and strain deviation index, dynamic characteristic index, and construction load stability index, combined with the rotation assistance reliability index, to obtain the rotation construction compliance index and make corresponding adjustments, so as to realize the technology of bridge intelligent monitoring.

[0054] In several embodiments provided in this application, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of the units is only a logical function division. In actual implementation, there may be other division methods. For example, multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed. In addition, the coupling, direct coupling, or communication connection between the various components shown or discussed can be through some interfaces. The indirect coupling or communication connection of devices or units can be electrical, mechanical, or other forms.

[0055] The units described above as separate components may or may not be physically separated. The components shown as units may or may not be physical units; they can be located in one place or distributed to multiple network units; some or all of the units can be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0056] In addition, each functional unit in the embodiments of the present invention can be all integrated in a processing unit, or each unit can be separately used as a unit, or two or more units can be integrated in a unit; the above-mentioned integrated units can be implemented in the form of hardware, or in the form of hardware plus software functional units.

[0057] Those of ordinary skill in the art can understand that all or part of the steps to implement the above method embodiments can be completed by hardware related to program instructions. The foregoing program can be stored in a readable storage medium. When the program is executed, it executes the steps including the above method embodiments; and the foregoing storage medium includes: removable storage devices, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disks or optical disks and other various media that can store program codes.

[0058] Alternatively, if the above-mentioned integrated units of the present invention are implemented in the form of software function modules and sold or used as independent products, they can also be stored in a readable storage medium. Based on such an understanding, the technical solution of the embodiments of the present invention essentially or the part that contributes to the prior art can be embodied in the form of a software product. The software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the methods described in the various embodiments of the present invention. And the foregoing storage medium includes: removable storage devices, ROM, RAM, magnetic disks or optical disks and other various media that can store program codes.

Claims

1. A bridge intelligent monitoring method, characterized in that: The following steps are involved: Collect monitoring information of the construction process of the target rotating bridge within a preset time period, and extract characteristic data of the construction process, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, ball joint state characteristic data, and support state characteristic data; Processing the structural deformation characteristic data to obtain a structural deformation index; Processing is performed according to the stress-strain characteristic data to obtain a stress-strain deviation index; Processing the power characteristic data to obtain a power characteristic index; Processing the construction load characteristic data to obtain a construction load stability index; Processing the ball joint state characteristic data and the support state characteristic data to obtain a rotation auxiliary reliability index; According to the structural deformation index, stress-strain deviation index, dynamic characteristic index and construction load stability index, combined with the rotation auxiliary reliability index, the rotation construction compliance index is obtained and adjusted accordingly.

2. The intelligent bridge monitoring method according to claim 1 is characterized in that: The step of processing the structural deformation characteristic data to obtain a structural deformation index includes: The structural deformation characteristic data include rotation angle data, beam end displacement data and pier inclination data; Performing extraction processing according to the rotation angle data to obtain rotation angle maximum error data; Extract and process the bridge displacement data to obtain the maximum error data of the horizontal displacement of the beam end and the maximum error data of the vertical displacement of the beam end; Acquire the design allowable value data of the bridge pier inclination, and process it in combination with the bridge pier inclination data to obtain the bridge pier inclination rate data; The maximum error data of the rotation angle, the maximum error data of the horizontal displacement of the beam end and the maximum error data of the vertical displacement of the beam end are processed in combination with the inclination data of the pier to obtain the structural deformation index.

3. The intelligent bridge monitoring method according to claim 2 is characterized in that: The step of processing the stress-strain characteristic data to obtain a stress-strain deviation index comprises: The stress-strain characteristic data include main beam stress data, pier stress data and strain value data; Extract and process the main beam stress data to obtain the maximum value data of the main beam tensile stress and the maximum value data of the main beam compressive stress; Obtaining the design allowable value data of the tensile stress of the main beam and the design allowable value data of the compressive stress of the main beam, and processing them respectively in combination with the maximum value data of the tensile stress of the main beam and the maximum value data of the compressive stress of the main beam, and correspondingly obtaining the deviation data of the tensile stress of the main beam and the deviation data of the compressive stress of the main beam; Extract and process the bridge pier stress data to obtain the maximum value data of bridge pier tensile stress and the maximum value data of bridge pier compressive stress; Obtaining the design allowable value data of the bridge pier tensile stress and the design allowable value data of the bridge pier compressive stress, and processing them respectively in combination with the bridge pier tensile stress maximum value data and the bridge pier compressive stress maximum value data, and correspondingly obtaining the bridge pier tensile stress deviation data and the bridge pier compressive stress deviation data; Performing statistical processing on the strain value data to obtain maximum value data of strain change rate; The stress-strain deviation index is obtained by processing the main beam tensile stress deviation data, the main beam compressive stress deviation data, the pier tensile stress deviation data and the pier compressive stress deviation data in combination with the maximum value data of the strain change rate.

4. The intelligent bridge monitoring method according to claim 3 is characterized in that: The processing according to the power characteristic data to obtain a power characteristic index includes: The dynamic characteristic data includes rotation speed data, rotation vibration frequency data and rotation amplitude data; Extract and process the rotation speed data to obtain the rotation instantaneous speed extreme value data and the rotation average speed data; Extract and process the rotation vibration frequency data and the rotation amplitude data to obtain corresponding rotation vibration frequency change rate data and rotation amplitude change rate data; The dynamic characteristic index is obtained by processing the instantaneous speed extreme value data of the rotating body and the average speed data of the rotating body in combination with the rotating body vibration frequency change rate data and the rotating body amplitude change rate data.

5. The intelligent bridge monitoring method according to claim 4 is characterized in that: The processing according to the construction load characteristic data to obtain the construction load stability index includes: The construction load characteristic data includes traction force extreme value data and unbalanced torque maximum value data; Obtain traction design value data and bridge anti-overturning moment data; Performing statistical processing on the traction force extreme value data and the traction force design value data to obtain traction force error rate data; Performing statistical processing on the unbalanced moment maximum value data and the bridge anti-overturning moment data to obtain unbalanced moment deviation data; The construction load stability index is obtained by processing the traction force error rate data and the unbalanced moment deviation data.

6. The intelligent bridge monitoring method according to claim 5 is characterized in that: The structural deformation index, stress-strain deviation index, dynamic characteristic index and construction load stability index are processed in combination with the rotation auxiliary reliability index to obtain the rotation construction compliance index, and make corresponding adjustments, including: According to the structural deformation index, stress-strain deviation index, dynamic characteristic index and construction load stability index, the rotation auxiliary reliability index is combined with the preset rotation construction evaluation model to obtain the rotation construction compliance index; Comparing the rotation construction compliance index with a preset rotation construction compliance threshold to obtain a threshold comparison result; evaluating whether the construction process of the target rotating bridge meets the standard according to the threshold comparison result; If the construction process of the target rotating bridge does not meet the standards, the construction process of the target rotating bridge is adjusted accordingly.

7. An intelligent bridge monitoring system, characterized in that: The system includes: a memory and a processor, wherein the memory includes a program of a bridge intelligent monitoring method, and when the program of the bridge intelligent monitoring method is executed by the processor, the following steps are implemented: Collect monitoring information of the construction process of the target rotating bridge within a preset time period, and extract characteristic data of the construction process, including structural deformation characteristic data, stress-strain characteristic data, dynamic characteristic data, construction load characteristic data, ball joint state characteristic data, and support state characteristic data; Processing the structural deformation characteristic data to obtain a structural deformation index; Processing is performed according to the stress-strain characteristic data to obtain a stress-strain deviation index; Processing the power characteristic data to obtain a power characteristic index; Processing the construction load characteristic data to obtain a construction load stability index; Processing the ball joint state characteristic data and the support state characteristic data to obtain a rotation auxiliary reliability index; According to the structural deformation index, stress-strain deviation index, dynamic characteristic index and construction load stability index, combined with the rotation auxiliary reliability index, the rotation construction compliance index is obtained and adjusted accordingly.

8. The intelligent bridge monitoring system according to claim 7 is characterized in that: The step of processing the structural deformation characteristic data to obtain a structural deformation index includes: The structural deformation characteristic data include rotation angle data, beam end displacement data and pier inclination data; Performing extraction processing according to the rotation angle data to obtain rotation angle maximum error data; Extract and process the bridge displacement data to obtain the maximum error data of the horizontal displacement of the beam end and the maximum error data of the vertical displacement of the beam end; Acquire the design allowable value data of the bridge pier inclination, and process it in combination with the bridge pier inclination data to obtain the bridge pier inclination rate data; The maximum error data of the rotation angle, the maximum error data of the horizontal displacement of the beam end and the maximum error data of the vertical displacement of the beam end are processed in combination with the inclination data of the pier to obtain the structural deformation index.

9. The intelligent bridge monitoring system according to claim 8, characterized in that: The step of processing the stress-strain characteristic data to obtain a stress-strain deviation index comprises: The stress-strain characteristic data include main beam stress data, pier stress data and strain value data; Extract and process the main beam stress data to obtain the maximum value data of the main beam tensile stress and the maximum value data of the main beam compressive stress; Obtaining the design allowable value data of the tensile stress of the main beam and the design allowable value data of the compressive stress of the main beam, and processing them respectively in combination with the maximum value data of the tensile stress of the main beam and the maximum value data of the compressive stress of the main beam, and correspondingly obtaining the deviation data of the tensile stress of the main beam and the deviation data of the compressive stress of the main beam; Extract and process the bridge pier stress data to obtain the maximum value data of bridge pier tensile stress and the maximum value data of bridge pier compressive stress; Obtaining the design allowable value data of the bridge pier tensile stress and the design allowable value data of the bridge pier compressive stress, and processing them respectively in combination with the bridge pier tensile stress maximum value data and the bridge pier compressive stress maximum value data, and correspondingly obtaining the bridge pier tensile stress deviation data and the bridge pier compressive stress deviation data; Performing statistical processing on the strain value data to obtain maximum value data of strain change rate; The stress-strain deviation index is obtained by processing the main beam tensile stress deviation data, the main beam compressive stress deviation data, the pier tensile stress deviation data and the pier compressive stress deviation data in combination with the maximum value data of the strain change rate.

10. The intelligent bridge monitoring system according to claim 9, characterized in that: The processing according to the power characteristic data to obtain a power characteristic index includes: The dynamic characteristic data includes rotation speed data, rotation vibration frequency data and rotation amplitude data; Extract and process the rotation speed data to obtain the rotation instantaneous speed extreme value data and the rotation average speed data; Extract and process the rotation vibration frequency data and the rotation amplitude data to obtain corresponding rotation vibration frequency change rate data and rotation amplitude change rate data; The dynamic characteristic index is obtained by processing the instantaneous speed extreme value data of the rotating body and the average speed data of the rotating body in combination with the rotating body vibration frequency change rate data and the rotating body amplitude change rate data.

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