Intelligent detection method and detection system for middle straining beam pier column

Abstract

The invention relates to the technical field of middle straining beam pier column detection, and discloses an intelligent detection method and system for a middle straining beam pier column, and the method comprises the steps: carrying out the fitting of the geological attribute information and bearing attribute information of the middle straining beam pier column, and generating a crack damage test model of the middle straining beam pier column. According to the crack damage test model, the crack position, the crack geometric image data and the deformation data of the crack area of the middle straining beam pier stud before damage are collected and determined as preset crack data information. An image climbing acquisition module is arranged along the arrangement direction of the middle tie beam pier stud, and surface image information of the middle tie beam pier stud is acquired based on the image climbing acquisition module. And on the basis of the surface image information, crack data information of the middle straining beam pier stud is extracted, and a to-be-maintained score of the middle straining beam pier stud is determined and output according to the overlap ratio between the crack data information and preset crack data information. Through the crack damage test model and in combination with crack data information, the damage condition of the middle tie beam pier stud can be accurately evaluated.

Description

Technical Field

[0001] The present invention relates to the technical field of center tie beam pier column detection, and in particular to an intelligent detection method and detection system for center tie beam pier columns. Background Art

[0002] With the continuous development and aging of urban infrastructure, health monitoring of structures such as bridges and piers has become an important task to ensure their safety and service life. As key supporting components in bridge structures, the bearing capacity and stability of beams and piers directly affect the safety of the entire bridge. Therefore, accurately monitoring the crack development and damage degree of beams and piers and timely discovering potential risks are of vital importance to prevent accidents and formulate scientific maintenance strategies.

[0003] Traditional beam and pier inspection methods usually rely on manual inspection and visual inspection, which has the problems of high labor intensity, low detection accuracy and large subjective errors. Although the use of non-destructive detection technologies such as ultrasound, infrared imaging, and X-rays can effectively improve the detection accuracy, these methods are still restricted by factors such as the detection environment, equipment complexity and cost, making it difficult to achieve real-time, comprehensive and accurate monitoring.

[0004] Therefore, it is urgent to invent a detection technology for center beam piers to solve the problems of low detection accuracy, large subjective errors, and inability to achieve real-time, comprehensive and accurate monitoring in traditional beam pier detection methods, especially in complex environments and high-cost non-destructive detection technologies, which are difficult to effectively apply to the intelligent monitoring of center beam piers. Summary of the invention

[0005] In view of this, the present invention proposes an intelligent detection method and system for center beam piers, aiming to solve the problems of low detection accuracy, large subjective errors, and inability to achieve real-time, comprehensive and accurate monitoring in traditional beam pier detection methods, especially in the face of complex environments and high-cost non-destructive detection technologies, which are difficult to be effectively applied to intelligent monitoring of center beam piers.

[0006] The present invention proposes an intelligent detection method for a center tie beam pier, comprising:

[0007] A crack damage test model of the middle tie beam pier column is generated by fitting according to the geological attribute information and bearing attribute information of the middle tie beam pier column, wherein the geological attribute information includes geological soil density, geological soil friction coefficient and geological soil compressibility, and the bearing attribute information includes the size of the middle tie beam pier column, the concrete strength of the middle tie beam pier column, the prestress of the middle tie beam pier column, the bearing deformation characteristics of the middle tie beam pier column and the loading mode of the middle tie beam pier column;

[0008] According to the crack damage test model, the crack position, crack geometric image data and deformation data of the crack area of ​​the center tie beam pier before damage are collected and determined as preset crack data information;

[0009] An image climbing acquisition module is arranged along the arrangement direction of the middle tie beam pier column, and surface image information of the middle tie beam pier column is collected based on the image climbing acquisition module;

[0010] The crack data information of the center beam pier column is extracted based on the surface image information, and the maintenance score of the center beam pier column is determined and output according to the overlap between the crack data information and the preset crack data information.

[0011] Furthermore, when fitting and generating the crack damage test model of the middle tie beam pier column according to the geological attribute information and the bearing attribute information of the middle tie beam pier column, it includes:

[0012] Generate a geological-structural interaction model according to the geological soil density, geological soil friction coefficient, geological soil compressibility, center tie beam pier column size, center tie beam pier column concrete strength, center tie beam pier column prestressing, center tie beam pier column bearing deformation characteristics and center tie beam pier column loading mode;

[0013] The geological-structural interaction model is simulated based on finite element analysis, and crack development paths and crack extension data of the center tie beam pier under various loads after simulation are obtained;

[0014] Each load correlation formula is generated according to the crack development path and crack extension data of the center beam pier under each load, clustering is performed according to the load relationship in each load correlation formula, and the crack damage test model is established according to the clustering result.

[0015] Further, when collecting the crack position, crack geometric image data and deformation data of the crack area of ​​the center tie beam pier before damage according to the crack damage test model, it includes:

[0016] Based on the stress intensity factor analysis of fracture mechanics, the deformation data before each crack occurs in the crack damage test model and the occurrence position of each crack are obtained;

[0017] Based on numerical simulation, fracture simulation is performed on the occurrence position of each of the cracks, and the expansion speed and expansion direction of each of the cracks at each preset time period and each preset load are obtained;

[0018] Obtaining distance metrics between each expansion speed of each of the cracks and each expansion direction of the cracks, and establishing a distance matrix according to the distance metrics;

[0019] Iteratively clustering the expansion speeds of the cracks and the expansion directions of the cracks according to the distance matrix;

[0020] According to the expansion speed and expansion direction of the cracks after clustering, the type feature vector of the crack is determined, and according to the type feature vector of each crack, the position of each crack before the damage of the center tie beam pier is determined, according to the type feature vector of the crack, the crack geometric image data is determined, and according to the deformation data before the crack occurs corresponding to the type feature vector of the crack, the deformation data of the crack area is determined.

[0021] Further, when determining the score of the center tie beam pier column to be repaired according to the overlap between the crack data information and the preset crack data information, it includes:

[0022] The positions of the cracks are obtained, and according to the positions of the cracks, the overlap between the positions of the cracks in the center tie beam and the positions of the preset crack regions is determined:

[0023] ;

[0024] Among them, η w is the overlap of crack positions, w i is the weight coefficient of the i-th preset crack area, M is the total number of preset crack area positions, χR i (P j ) is the crack position P j An indicator function of whether it falls within the i-th preset region Ri, where N is the total number of cracks;

[0025] The initial score for maintenance of the center tie beam pier is determined according to the overlap of the crack positions.

[0026] Furthermore, when determining the initial score of the middle tie beam pier column to be repaired according to the overlap of the crack positions, it includes:

[0027] Determine the initial score to be repaired according to the relationship between the crack position coincidence degree and the pre-configured first preset crack position coincidence degree and the second preset crack position coincidence degree;

[0028] When the crack position coincidence is lower than the first preset crack position coincidence, the initial score to be repaired is determined to be L1;

[0029] When the crack position coincidence degree is higher than or equal to the first preset crack position coincidence degree, and the crack position coincidence degree is lower than the second preset crack position coincidence degree, the initial repair score is determined to be L2;

[0030] When the crack position coincidence degree is higher than or equal to the second preset crack position coincidence degree, the initial score to be repaired is determined to be L3;

[0031] Wherein, the first preset crack position overlap is smaller than the second preset crack position overlap, and L1<L2<L3.

[0032] Further, when the initial maintenance score of the center tie beam pier is determined to be Li, i=1,2,3, it includes:

[0033] Obtaining image information of each preset crack area, and obtaining deformation data of the center tie beam pier located in the preset crack area according to the image information;

[0034] Determine effective evaluation data according to the relationship between the deformation data and the preset deformation data, determine an adjustment coefficient according to the relationship between the effective evaluation data and the corresponding preset deformation data, and adjust the initial score Li for repair according to the adjustment coefficient;

[0035] Wherein, determining the effective evaluation data according to the relationship between the deformation data and the preset deformation data includes:

[0036] When the deformation data is inconsistent with the preset deformation data, it is determined that the deformation data is not the valid evaluation data;

[0037] When the deformation data is greater than the preset deformation data, the deformation data is determined to be valid evaluation data.

[0038] Furthermore, when determining the adjustment coefficient according to the relationship between the effective evaluation data and the corresponding preset deformation data, it includes:

[0039] Obtaining the deformation difference between each of the effective evaluation data and the corresponding preset deformation data:

[0040] ;

[0041] Among them, F is the average value of the absolute value between each deformation difference, K is the total number of valid evaluation data, S e K To effectively evaluate the data, S p K is the corresponding preset deformation data;

[0042] The adjustment coefficient is determined according to the relationship between the average value of the absolute value and the pre-configured first preset deformation difference value and the second preset deformation difference value:

[0043] When the average value of the absolute values ​​is less than the first preset deformation difference value, the adjustment coefficient is determined to be B1;

[0044] When the average value of the absolute values ​​is greater than or equal to the first preset deformation difference value, and the average value of the absolute values ​​is less than the second preset deformation difference value, the adjustment coefficient is determined to be B2;

[0045] When the average value of the absolute values ​​is greater than or equal to the second preset deformation difference value, the adjustment coefficient is determined to be B3;

[0046] The first preset deformation difference value is smaller than the second preset deformation difference value, and B1<B2<B3<1.5.

[0047] Further, when the adjustment coefficient is determined to be Bi, i=1, 2, 3, it includes:

[0048] Acquire a crack image of each of the preset crack areas in the surface image, and perform grayscale value processing according to the crack image to determine the size and depth of each of the cracks;

[0049] Extracting the average crack size and the average crack depth from the crack geometric image data of each of the preset crack areas, and determining them as the preset crack size and the preset crack depth;

[0050] According to the size of the crack and the preset crack size and the depth of the crack and the preset crack depth, a correction coefficient is determined, and the adjustment coefficient Bi is corrected according to the correction coefficient:

[0051] ;

[0052] Among them, Q is the correction coefficient, V is the total number of preset crack areas, We is the size of the crack, WE is the preset crack size, Re is the depth of the crack, RE is the preset crack depth, zv and Pv are weight coefficients, and both zv and Pv are not zero.

[0053] Compared with the prior art, the beneficial effect of the present invention is that an accurate crack damage test model is established by comprehensively considering the geological attribute information and bearing attribute information of the beam pier column. This model can not only simulate the crack development of the beam pier column under different geological conditions and loads, but also provide early warning for the occurrence and expansion of cracks. This model based on the interaction between geology and structure overcomes the problem that the traditional method cannot fully consider the influence of geological factors on the beam pier column, making the detection results more comprehensive and accurate. Secondly, through the image climbing acquisition module, the method can obtain high-quality image data of the surface of the beam pier column in real time. The introduction of this technology makes the detection process more efficient and intelligent. Compared with the traditional manual inspection, the image acquisition module can continuously monitor the crack changes of the beam pier column, avoiding the situation that the crack damage cannot be discovered in time due to insufficient coverage of the manual inspection or too long inspection cycle. After the image data is processed, by extracting the crack data information, accurate geometric data and deformation data can be generated for each crack, providing a basis for subsequent analysis and evaluation. In addition, by comparing the overlap between the actual crack data collected and the preset crack data, the damage degree of the beam pier column can be intelligently evaluated and a basis for maintenance decisions can be provided. Through this precise evaluation mechanism, potential crack areas can be discovered in time, and corresponding maintenance plans can be formulated according to the severity of the cracks, avoiding the problem of excessive maintenance or missing serious cracks. The advantages of this intelligent detection method are high efficiency, accuracy and automation, which can significantly improve the health monitoring quality of beam pier columns and the accuracy of maintenance decisions. Finally, combined with big data analysis and machine learning technology, it can continuously optimize itself according to the real-time collected data to improve the prediction performance and detection accuracy. With the accumulation of monitoring data, it can gradually adapt to the crack characteristics of different types of bridges and provide more accurate technical support for the safety management of various types of bridges. Through this intelligent detection and evaluation mechanism, more accurate and timely maintenance can be achieved, reducing the cost of bridge management and increasing the service life of bridges, thus providing strong technical support for ensuring public transportation safety.

[0054] On the other hand, the present application also provides an intelligent detection system for center beam piers, including:

[0055] A ring guide frame is sleeved on the outer side of the middle tie beam pier, wherein a movable frame is further arranged between the ring guide frame and the outer side wall of the middle tie beam pier;

[0056] A plurality of image acquisition modules are provided, and the plurality of image acquisition modules are arranged side by side along the circumference of the ring guide frame, and the image acquisition module is fixedly connected to the ring guide frame, wherein the acquisition end of the image acquisition module is arranged opposite to the outer side wall of the middle tie beam pier, and the image acquisition module is used to acquire the surface image of the middle tie beam pier;

[0057] The central control module is configured to fit and generate a crack damage test model of the central beam pier column according to the geological attribute information and the bearing attribute information of the central beam pier column, and the central control module is further configured to collect the crack position, crack geometric image data and deformation data of the crack area of ​​the central beam pier column before damage according to the crack damage test model, and determine them as preset crack data information;

[0058] An output module is electrically connected to the image acquisition module and the central control module, respectively, and the output module is configured to acquire surface image information of the center tie beam pier column acquired by the image acquisition module; the output module is also configured to extract crack data information of the center tie beam pier column based on the surface image information, and determine the maintenance score of the center tie beam pier column according to the overlap between the crack data information and the preset crack data information, and output it.

[0059] Furthermore, it also includes:

[0060] A fluid propulsion module is arranged between two adjacent image acquisition modules. One end of the fluid propulsion module is fixedly connected to the ring guide frame. The fluid propulsion module is used to drive the ring guide frame to move along the vertical direction of the pier.

[0061] It can be understood that the intelligent detection method and detection system for the center tie beam pier in the above-mentioned embodiments of the present invention have the same beneficial effects, which will not be described in detail. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0063] Figure 1 A flowchart of an intelligent detection method for a center tie beam pier provided by an embodiment of the present invention;

[0064] Figure 2 A schematic diagram of the structure of an intelligent detection system for a center tie beam pier provided by an embodiment of the present invention;

[0065] Figure 3 A top view of an intelligent detection system for a center tie beam pier provided by an embodiment of the present invention;

[0066] Figure 4 A schematic diagram of the working of an intelligent detection system for a center tie beam pier provided by an embodiment of the present invention;

[0067] Among them, 111, fixed frame; 112, driving wheel; 113, telescopic connecting arm; 120, ring guide frame; 121, half rail; 122, first connecting rail; 123, second connecting rail; 130, fluid propulsion module; 140, image acquisition module; 210, mobile base; 310, pier. DETAILED DESCRIPTION

[0068] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments described herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art. It should be noted that, in the absence of conflict, the embodiments of the present invention and the features described in the embodiments can be combined with each other. The present invention will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0069] like Figure 1 As shown, in some embodiments of the present application, this embodiment provides an intelligent detection method for a center tie beam pier, including:

[0070] Step S100: generating a crack damage test model of the center tie beam pier column by fitting according to the geological attribute information and the bearing attribute information of the center tie beam pier column.

[0071] Specifically, the geological attribute information includes geological soil density, geological soil friction coefficient and geological soil compressibility, and the bearing attribute information includes the size of the center beam pier column, the concrete strength of the center beam pier column, the prestressing of the center beam pier column, the bearing deformation characteristics of the center beam pier column and the loading method of the center beam pier column.

[0072] Specifically, when fitting and generating the crack damage test model of the center tie beam pier column according to the geological attribute information and bearing attribute information of the center tie beam pier column, it includes: generating a geological-structural interaction model according to the geological soil density, geological soil friction coefficient, geological soil compressibility, center tie beam pier column size, center tie beam pier column concrete strength, center tie beam pier column prestress, center tie beam pier column bearing deformation characteristics and center tie beam pier column loading mode. The geological-structural interaction model is simulated based on finite element analysis, and the crack development path and crack extension data of the center tie beam pier column under each load after simulation are obtained. Each load correlation formula is generated according to the crack development path and crack extension data of the center tie beam pier column under each load, clustering is performed according to the load relationship in each load correlation formula, and a crack damage test model is established according to the clustering results.

[0073] It can be understood that the structural performance of beams and columns is jointly affected by geological attribute information (such as soil density, friction coefficient and compressibility) and bearing attribute information (such as beam pier column size, concrete strength, prestress, bearing deformation characteristics and loading mode). These attributes reflect the actual behavior of beams and columns under different geological environments and loads, and provide key parameters for the construction of crack damage models. Next, a geological-structural interaction model is generated based on geological attributes and bearing attributes. By comprehensively considering the interaction between soil and beam pier columns, the model can accurately reflect the influence of geological conditions on the formation of beam pier column cracks and lay the foundation for the simulation of crack damage. The geological-structural interaction model can fully consider factors such as the size of beam pier columns, concrete strength, prestress, and the compressibility and friction characteristics of soil to ensure the comprehensiveness and accuracy of the simulation results. Then, the geological-structural interaction model is simulated by finite element analysis technology. Finite element analysis can accurately calculate the stress distribution, deformation and initial conditions of crack formation of beam pier columns under different load conditions. The simulation data generated in this step provides detailed basic data for the subsequent analysis of crack development path and crack extension law. According to the simulated crack development path and crack extension data, the next step is to generate various load correlation equations. The load correlation equation describes the relationship between the occurrence and extension of cracks in beam piers and columns under different load conditions. By analyzing these load correlation equations, the characteristics and laws of crack development under different load conditions can be identified, providing necessary reference data for the construction of crack damage test models. Finally, based on the load relationship in the load correlation equation, cluster analysis is further performed. Cluster analysis can identify similar patterns of crack extension under different loads, and optimize and establish crack damage test models by classifying and summarizing the development characteristics of cracks under different working conditions. This model can accurately predict the critical point and extension path of cracks in beam piers and columns in actual use, provide a scientific basis for the health monitoring and maintenance of beam piers and columns, and ensure the long-term stability and safety of the structure.

[0074] It can be seen that by combining the geological attribute information and bearing attribute information of the central beam pier column, constructing a crack damage test model can provide a more accurate and scientific basis for the crack development and damage prediction of the beam pier column. By considering the interaction between the geological environment and structural characteristics, it is helpful to fully understand the impact of different geological conditions on the cracks of the beam pier column, thereby improving the accuracy of crack detection and repair prediction. Secondly, by simulating the geological-structural interaction model based on finite element analysis, the expansion path and damage data of the cracks in the central beam pier column under different load conditions can be accurately obtained. This simulation analysis provides comprehensive numerical data support for the crack development process, helping engineers to identify potential crack risk points and optimize structural design and maintenance strategies. In addition, the generated load correlation formula has high scientificity and operability when analyzing the crack development characteristics under different load conditions. By conducting an in-depth analysis of the relationship between load and crack extension, a quantitative basis can be provided for the safety assessment and subsequent maintenance of beam pier columns. Especially under complex working conditions, this correlation formula can help predict the changes in the bearing capacity of the structure and avoid the potential threat of cracks to the safety of the structure. Finally, by clustering the load relationship in the load correlation formula, the crack extension pattern under different working conditions can be effectively extracted, and then the crack damage test model can be established. This cluster analysis provides strong data support for the prediction and repair of cracks under different load conditions, and provides a quantitative basis for structural maintenance, making the priority and resource allocation of maintenance work more scientific and reasonable.

[0075] Step S200: collecting the crack position, crack geometric image data and deformation data of the crack area of ​​the tie beam pier before damage according to the crack damage test model, and determining them as preset crack data information.

[0076] Specifically, when collecting the crack position, crack geometric image data and deformation data of the crack area of ​​the center tie beam pier before damage according to the crack damage test model, it includes: based on the stress intensity factor analysis of fracture mechanics, obtaining the deformation data and the occurrence position of each crack in the crack damage test model before the occurrence of each crack. Perform fracture simulation on the occurrence position of each crack based on numerical simulation, and obtain the expansion speed and expansion direction of each crack in each preset time period and each preset load. Obtain the distance measurement between each expansion speed of each crack and the expansion direction of each crack, and establish a distance matrix according to the distance measurement. Iterative clustering is performed between each expansion speed of each crack and the expansion direction of each crack according to the distance matrix. According to the expansion speed and expansion direction of the clustered cracks, it is determined as the crack type feature vector, and according to the crack type feature vector, the position of each crack of the center tie beam pier before damage is determined, according to the crack type feature vector, the crack geometric image data is determined, and according to the crack type feature vector, the deformation data of the crack area is determined according to the deformation data before the crack occurs corresponding to the crack type feature vector.

[0077] It can be understood that the deformation data and the location of the cracks before the occurrence of the cracks in the crack damage test model are obtained by stress intensity factor analysis based on fracture mechanics. This analysis method fully considers the relationship between crack extension and structural stress, and provides a scientific basis for subsequent crack prediction and evaluation by accurately obtaining the deformation information of each crack. In addition, the fracture simulation of the crack occurrence location through numerical simulation can simulate the expansion behavior of the cracks under different loads and time periods, and then analyze the expansion speed and direction of the cracks. Secondly, by measuring the distance between the expansion speed and expansion direction of the cracks, a distance matrix is ​​constructed, which provides a quantitative description of the relationship and mutual influence between the cracks. Based on this distance matrix, iterative clustering analysis is performed to determine the similarity and interaction between the cracks. The clustered crack expansion speed and direction will be used to further determine the crack type feature vector. Through this process, the typical expansion mode of the crack can be extracted, and the specific type characteristics of the crack can be defined according to these modes, so as to more accurately identify and classify the cracks in the subsequent analysis. Finally, based on the crack type feature vector, the location of each crack before the damage of the tie beam pier, the crack geometric image data and the deformation data of the crack area can be accurately determined. This effectively achieves comprehensive monitoring and accurate prediction of crack location, morphology and expansion behavior.

[0078] It can be seen that through the stress intensity factor analysis based on fracture mechanics, the deformation data and the location of the cracks before the cracks occur can be accurately obtained, thus providing a scientific and quantitative basis for the prediction and monitoring of cracks. This method can comprehensively evaluate the stress state of the structure under different loads, provide basic data for the subsequent crack extension path analysis and structural health monitoring, and improve the accuracy of crack identification and damage assessment. Secondly, through numerical simulation and crack extension behavior analysis, combined with the distance measurement and cluster analysis of crack extension speed and direction, the relationship between cracks and their extension trends can be effectively analyzed. This process enables the crack extension pattern to be systematized and the potential impact between different cracks can be identified, providing guidance for the subsequent repair and strengthening measures of the structure, thereby improving the comprehensiveness and accuracy of crack detection. Finally, according to the crack type feature vector, the geometric image data and deformation data of the crack can be accurately extracted. This provides detailed and specific information for the health assessment of the structure, helping to determine the specific location, morphology and deformation of the cracks before damage in the center tie beam pier. This method can not only enhance the accuracy and real-time performance of crack detection, but also provide early warning of potential structural problems, thus providing a strong basis for maintenance decisions and repairs, helping to extend the service life of the structure and improve safety.

[0079] Step S300, setting an image climbing acquisition module along the setting direction of the middle tie beam pier column, and collecting surface image information of the middle tie beam pier column based on the image climbing acquisition module.

[0080] Step S400: extract crack data information of the center tie beam pier column based on the surface image information, and determine the maintenance score of the center tie beam pier column according to the overlap between the crack data information and the preset crack data information, and output it.

[0081] Specifically, when determining the repair score of the center tie beam pier column according to the coincidence between the crack data information and the preset crack data information, it includes: obtaining the position of each crack, and determining the coincidence between the position of each crack in the center tie beam and the position of the preset crack area according to each crack position:

[0082] .

[0083] Among them, η w is the overlap of crack positions, w i is the weight coefficient of the i-th preset crack area, M is the total number of preset crack area positions, χR i (P j ) is the crack position P j The indicator function of whether it falls within the i-th preset area Ri, N is the total number of cracks. The initial repair score of the center tie beam pier is determined according to the overlap of the crack positions.

[0084] Specifically, when determining the initial score to be repaired of the center tie beam pier column according to the crack position coincidence, it includes: determining the initial score to be repaired according to the relationship between the crack position coincidence and the pre-configured first preset crack position coincidence and the second preset crack position coincidence. When the crack position coincidence is lower than the first preset crack position coincidence, the initial score to be repaired is determined to be L1. When the crack position coincidence is higher than or equal to the first preset crack position coincidence, and the crack position coincidence is lower than the second preset crack position coincidence, the initial score to be repaired is determined to be L2. When the crack position coincidence is higher than or equal to the second preset crack position coincidence, the initial score to be repaired is determined to be L3. Among them, the first preset crack position coincidence is less than the second preset crack position coincidence, and L1<L2<L3.

[0085] Specifically, when the initial score to be repaired of the center beam pier is determined to be Li, i=1,2,3, it includes: obtaining image information of each preset crack area, and obtaining deformation data of the center beam pier located in the preset crack area according to the image information. According to the relationship between the deformation data and the preset deformation data, the effective evaluation data is determined, according to the relationship between the effective evaluation data and the corresponding preset deformation data, the adjustment coefficient is determined, and the initial score to be repaired Li is adjusted according to the adjustment coefficient. Among them, when determining the effective evaluation data according to the relationship between the deformation data and the preset deformation data, it includes: when the deformation data is inconsistent with the preset deformation data, it is determined that the deformation data is not valid evaluation data. When the deformation data is greater than the preset deformation data, it is determined that the deformation data is valid evaluation data.

[0086] Specifically, when determining the adjustment coefficient according to the relationship between the effective evaluation data and the corresponding preset deformation data, it includes: obtaining the deformation difference between each effective evaluation data and the corresponding preset deformation data:

[0087] .

[0088] Among them, F is the average value of the absolute value between each deformation difference, K is the total number of valid evaluation data, S e K To effectively evaluate the data, S p K is the corresponding preset deformation data. According to the relationship between the average value of the absolute value and the pre-configured first preset deformation difference value and the second preset deformation difference value, the adjustment coefficient is determined: when the average value of the absolute value is less than the first preset deformation difference value, the adjustment coefficient is determined to be B1. When the average value of the absolute value is greater than or equal to the first preset deformation difference value, and the average value of the absolute value is less than the second preset deformation difference value, the adjustment coefficient is determined to be B2. When the average value of the absolute value is greater than or equal to the second preset deformation difference value, the adjustment coefficient is determined to be B3. Among them, the first preset deformation difference value is less than the second preset deformation difference value, and B1<B2<B3<1.5.

[0089] Specifically, when the adjustment coefficient is determined to be Bi, i=1,2,3, it includes: obtaining the crack image of each preset crack area in the surface image, and performing grayscale value processing according to the crack image to determine the size and depth of each crack. Extracting the average crack average size and the average crack depth in the crack geometric image data of each preset crack area, and determining them as the preset crack size and the preset crack depth. Determine the correction coefficient according to the size of the crack and the preset crack size and the depth of the crack and the preset crack depth, and correct the adjustment coefficient Bi according to the correction coefficient:

[0090] .

[0091] Among them, Q is the correction coefficient, V is the total number of preset crack areas, We is the size of the crack, WE is the preset crack size, Re is the depth of the crack, RE is the preset crack depth, zv and Pv are weight coefficients, and both zv and Pv are not zero.

[0092] It can be understood that based on the calculation of the crack position coincidence, by analyzing the coincidence of the crack position and the preset crack area position, the distribution of cracks on the middle tie beam pier column can be accurately evaluated. The calculation formula of the crack position coincidence combines the weight coefficient of the preset crack area and the indicator function of whether the crack is located in the area, providing a quantitative basis for the subsequent repair score. In this way, the impact of different cracks can be scientifically determined, and then whether the structure needs maintenance can be evaluated. Then, by setting multiple preset crack position coincidence thresholds, the crack position coincidence is compared with the preset standard to determine the preliminary repair score. In this classification method, the crack problem of the middle tie beam pier column can be effectively graded and the corresponding repair priority can be provided. This provides a clear repair guide for decision makers and optimizes the allocation of maintenance resources. After the preliminary repair score is determined, the score is further adjusted in combination with the relationship between the deformation data and the preset deformation data. If the deformation data is greater than the preset deformation data, the data is regarded as valid evaluation data and the score can be corrected. This method effectively takes into account the structural deformation caused by cracks, and enhances the accuracy of the score through deformation data, ensuring that the maintenance assessment is more comprehensive and accurate. In addition, the average value of the deformation data difference is used to calculate the adjustment coefficient. By setting a preset deformation difference interval, the maintenance score is corrected according to the degree of deformation difference. This mechanism can dynamically adjust the maintenance priority to ensure timely repair in the case of large deformation and avoid potential structural risks. Finally, the score is further optimized by combining the geometric size and depth information of the crack and the application of the correction coefficient. Changes in the size and depth of the crack directly affect its repair needs. Therefore, by grayscale processing of the crack image, extracting the geometric data of the crack, and comparing it with the preset size and depth, the correction coefficient can be accurately calculated, and finally the maintenance score can be corrected.

[0093] It can be seen that by calculating the overlap of crack positions, the degree of match between the actual distribution of cracks in the center tie beam pier column and the preset crack area can be efficiently evaluated. This method ensures that the cracks are located very accurately, avoids errors in manual inspection, and improves the accuracy and reliability of crack assessment. The preliminary score to be repaired obtained based on the overlap of crack positions provides a scientific basis for subsequent repair decisions and reduces the risk of potential structural problems being ignored. Secondly, by dividing the overlap of crack positions into different thresholds, the maintenance tasks can be effectively graded to determine the priority of maintenance. For example, when the overlap of cracks is low, the score to be repaired is L1, indicating that the urgency of maintenance is low; when the overlap of cracks is high, the score is L3, indicating that urgent maintenance is required. This hierarchical management method not only ensures the timely recovery of structural health, but also optimizes the use of maintenance resources, so that the most serious problems are dealt with first. In addition, by introducing deformation data to adjust the initial score to be repaired, the impact of cracks on the structure can be more accurately reflected. Deformation data, as supplementary evaluation information, helps to capture structural deformation problems that may be caused during the development of cracks, further improving the accuracy of maintenance evaluation. This method combines the crack problem with the deformation problem, comprehensively considers the health status of the structure, and avoids the evaluation bias caused by a single indicator. At the same time, by setting the interval of the deformation difference, the system can dynamically adjust the initial score according to the actual measured deformation difference. According to different deformation differences, the introduction of the adjustment coefficient can refine the score to be repaired and ensure the timeliness and accuracy of structural maintenance. This flexible adjustment mechanism makes the score more in line with the actual situation, effectively avoids the error caused by deformation differences, and makes the maintenance decision more reasonable. Finally, by extracting the size and depth information in the crack image and correcting the adjustment coefficient with the correction coefficient, the impact of the crack can be further accurately evaluated. The geometric characteristics of the crack, especially the size and depth, are crucial to the maintenance decision. With this method, the maintenance score not only depends on the location of the crack, but also takes into account the severity of the crack, ensuring the efficiency and pertinence of the structural repair plan and reducing unnecessary maintenance costs.

[0094] In the above embodiment, an accurate crack damage test model is established by comprehensively considering the geological attribute information and bearing attribute information of the beam pier column. This model can not only simulate the crack development of the beam pier column under different geological conditions and loads, but also provide early warning for the occurrence and expansion of cracks. This model based on the interaction between geology and structure overcomes the problem that the traditional method cannot fully consider the impact of geological factors on the beam pier column, making the detection results more comprehensive and accurate. Secondly, through the image climbing acquisition module, the method can obtain high-quality image data on the surface of the beam pier column in real time. The introduction of this technology makes the detection process more efficient and intelligent. Compared with traditional manual inspections, the image acquisition module can continuously monitor the crack changes of the beam pier column, avoiding the situation where crack damage cannot be discovered in time due to insufficient coverage of manual inspections or too long inspection cycles. After the image data is processed, by extracting the crack data information, accurate geometric data and deformation data can be generated for each crack, providing a basis for subsequent analysis and evaluation. In addition, by comparing the overlap between the actual collected crack data and the preset crack data, the degree of damage to the beam pier column can be intelligently evaluated, and a basis for maintenance decisions can be provided. Through this precise evaluation mechanism, potential crack areas can be discovered in time, and corresponding maintenance plans can be formulated according to the severity of the cracks, avoiding the problem of over-maintenance or missing serious cracks. The advantages of this intelligent detection method are high efficiency, accuracy and automation, which can significantly improve the health monitoring quality of beams and piers and the accuracy of maintenance decisions. Finally, combined with big data analysis and machine learning technology, it can continuously optimize itself according to real-time collected data to improve prediction performance and detection accuracy. With the accumulation of monitoring data, it can gradually adapt to the crack characteristics of different types of bridges and provide more accurate technical support for the safety management of various types of bridges. Through this intelligent detection and evaluation mechanism, more accurate and timely maintenance can be achieved, reducing bridge management costs and increasing the service life of bridges, thereby providing strong technical support for ensuring public transportation safety.

[0095] In another preferred embodiment based on the above embodiment, Figure 2-Figure 4 As shown, this embodiment provides an intelligent detection system for center beam piers, including: a ring guide frame, an image acquisition module 140, a central control module, an output module and a fluid propulsion module 130.

[0096] Specifically, the ring guide frame is sleeved on the outer side of the middle beam pier, wherein a movable frame is further arranged between the ring guide frame and the outer side wall of the middle beam pier. A plurality of image acquisition modules 140 are arranged, and the plurality of image acquisition modules 140 are arranged side by side along the circumference of the ring guide frame. The image acquisition module 140 is fixedly connected to the ring guide frame, wherein the acquisition end of the image acquisition module 140 is arranged opposite to the outer side wall of the middle beam pier, and the image acquisition module 140 is used to acquire the surface image of the middle beam pier. The central control module is configured to fit and generate a crack damage test model of the middle beam pier according to the geological attribute information and bearing attribute information of the middle beam pier, and the central control module is further configured to acquire the crack position, crack geometric image data and deformation data of the crack area of ​​the middle beam pier before damage according to the crack damage test model, and determine it as the preset crack data information. The output module is electrically connected to the image acquisition module 140 and the central control module respectively, and the output module is configured to acquire the surface image information of the middle beam pier acquired by the image acquisition module 140. The output module is also configured to extract crack data information of the center tie beam pier based on the surface image information, and determine the maintenance score of the center tie beam pier according to the overlap between the crack data information and the preset crack data information, and output it. The fluid propulsion module 130 is arranged between two adjacent image acquisition modules 140, and one end of the fluid propulsion module 130 is fixedly connected to the ring guide frame, and the fluid propulsion module 130 is used to drive the ring guide frame to move along the vertical direction of the pier.

[0097] Preferably, the ring guide frame includes: a fixed frame 111, a driving wheel 112 and a telescopic connecting arm 113. Two groups of fixed frames 111 are provided, and the two groups of fixed frames 111 are respectively provided on the outside of the two piers 310. The driving wheel 112 is provided between the fixed frame 111 and the outer side wall of the pier 310, and one end of the driving wheel 112 is rotatably connected to the fixed frame 111, wherein the driving wheel 112 is provided with a brake unit. Two groups of telescopic connecting arms 113 are provided, and the two groups of telescopic connecting arms 113 are relatively provided between the two groups of fixed frames 111, and the two ends of the telescopic connecting arms 113 are respectively fixedly connected to the outer side walls of the two groups of fixed frames 111, wherein the material of the driving wheel 112 is rubber or other non-slip material.

[0098] Specifically, the fixed frame 111, as the basic structure of the mobile frame, is arranged on the outside of the two piers 310, providing a stable support foundation for the entire device. The position of the fixed frame 111 ensures that the mobile frame can be firmly fixed on the pier 310 and can withstand various forces and pressures during movement and operation. Secondly, the driving wheel 112 is located between the fixed frame 111 and the outer wall of the pier 310, and the driving wheel 112 is connected by rotation to provide power transmission and control for the mobile frame. The driving wheel 112 can not only make the mobile frame move smoothly along the surface of the pier 310, but also can stop or fix the position of the mobile frame in time when necessary through the brake unit provided therein, so as to ensure the safety and accuracy of the detection process. Finally, the telescopic connecting arm 113, as the adjustable part of the mobile frame, is arranged between the two sets of fixed frames 111. The design of these telescopic connecting arms 113 enables the mobile frame to adapt to piers 310 of different diameters and heights. The length adjustment capability of the telescopic connecting arm 113 enables it to tightly connect the two sets of fixed frames 111 and maintain the stability and balance of the overall structure. This design not only enhances the applicability and flexibility of the mobile frame, but also enables it to operate efficiently and complete inspection tasks in complex bridge structures.

[0099] Preferably, the ring guide frame 120 includes: a half-rail 121, a first connecting rail 122, a second connecting rail 123, a distance measuring unit and a control unit. The half-rail 121 is arranged above the fixed frame 111, and the half-rail 121 is fixedly connected to the fixed frame 111. The first connecting rail 122 and the second connecting rail 123 are respectively arranged on the side of the pier 310 away from the half-rail 121, one end of the first connecting rail 122 is rotatably connected to one end of the half-rail 121, one end of the second connecting rail 123 is rotatably connected to the other end of the half-rail 121, and the other end of the second connecting rail 123 is rotatably connected to the other end of the first connecting rail 122, so that the ring guide frame 120 is formed between the half-rail 121, the first connecting rail 122 and the second connecting rail 123. The distance measuring unit is arranged at one end of the first connecting rail 122 adjacent to the second connecting rail 123, and the distance measuring unit is used to obtain the real-time distance between the first connecting rail 122 and the middle tie beam of the middle tie beam pier. The control unit is electrically connected to the distance measuring unit, the first connecting rail 122 and the second connecting rail 123 respectively, wherein the control unit is configured with a preset distance range, and the control unit is also used to control the rotation angle between the first connecting rail 122 and the second connecting rail 123 and the half rail 121 respectively according to the relationship between the real-time distance and the preset distance range.

[0100] Specifically, by arranging the half-rail 121 above the fixed frame 111 and firmly connecting it to the fixed frame 111, a stable support foundation is provided for the entire ring guide frame 120. The position of the half-rail 121 ensures that the ring guide frame 120 can move and guide smoothly around the top of the pier 310. Secondly, the first connecting rail 122 and the second connecting rail 123 are respectively arranged on one side of the pier 310, away from the position of the half-rail 121. One end of the first connecting rail 122 is rotatably connected to one end of the half-rail 121, one end of the second connecting rail 123 is rotatably connected to the other end of the half-rail 121, and the other end of the second connecting rail 123 is also rotatably connected to the other end of the first connecting rail 122. This arrangement forms a closed-loop ring guide frame 120 structure between the half-rail 121, the first connecting rail 122 and the second connecting rail 123, which can ensure that the device moves smoothly in the vertical direction of the pier 310. In addition, the distance measuring unit is located at one end between the first connecting rail 122 and the second connecting rail 123, and its main function is to obtain the distance between the first connecting rail 122 and the middle tie beam pier in real time. The distance measuring unit accurately measures the distance from the surface of the pier 310 to the ring guide frame 120. Finally, the control unit is electrically connected to the distance measuring unit, the first connecting rail 122 and the second connecting rail 123 respectively. Through the configured preset distance range, the actual distance data obtained by the distance measuring unit is monitored and analyzed in real time. According to the relationship between the real-time distance and the preset distance range, the control unit can intelligently adjust the rotation angle between the first connecting rail 122 and the second connecting rail 123 and the half rail 121. This intelligent control mechanism ensures that the ring guide frame 120 can flexibly respond to the presence of the middle tie beam during the climbing process. When the ring guide frame 120 encounters the middle tie beam, the control unit will immediately adjust the rotation angle of the first connecting rail 122 and the second connecting rail 123, so that the ring guide frame 120 is transformed from a closed state to an open and closed state. This open and closed state allows the ring guide frame 120 to smoothly bypass the middle tie beam, ensuring that the device can pass smoothly and continue to move along the surface of the pier column 310 (see Figure 4 ). After the ring guide frame 120 passes the middle tie beam, the control unit adjusts the rotation angle of the first connecting rail 122 and the second connecting rail 123 again, so that the ring guide frame 120 is restored from the open state to the closed state. This design ensures that the acoustic wave detection module can accurately detect the pier 310 above the middle tie beam when the ring guide frame 120 is closed, effectively supporting the safety assessment and maintenance of the bridge structure.

[0101] It can be understood that, through the control of the distance measuring unit and the control unit, once the ring guide frame 120 meets the middle tie beam, the control unit will quickly and accurately adjust the rotation angle of the first connecting rail 122 and the second connecting rail 123, so as to change the ring guide frame 120 from the closed state to the open state (see Figure 4). This design of the opening and closing state enables the ring guide frame 120 to smoothly avoid the middle tie beam, thereby ensuring that the entire device can continue to move along the surface of the pier 310 smoothly and unimpeded. Once the ring guide frame 120 successfully bypasses the middle tie beam, the control unit will perform precise adjustment operations again to restore the rotation angles of the first connecting rail 122 and the second connecting rail 123, so that the ring guide frame 120 returns to the closed state from the opening and closing state. The design of this mechanism ensures that the acoustic wave detection module can accurately and thoroughly detect the pier 310 above the middle tie beam when the ring guide frame 120 is in the closed state, providing strong support for the safety assessment and maintenance of the bridge structure.

[0102] Preferably, the acoustic wave detection module includes: a mobile base 210 and an ultrasonic detection unit 220. Two groups of mobile bases 210 are provided, and the two groups of mobile bases 210 are respectively arranged at one end of the two groups of ring guide frames 120, wherein a driving groove wheel group is provided at the bottom of the mobile base 210, and the mobile base 210 is slidably connected with the ring guide frame 120 through the driving groove wheel group. The ultrasonic detection unit 220 is arranged above the mobile base 210, and the ultrasonic detection unit 220 is fixedly connected to the mobile base 210, wherein the detection end of the ultrasonic detection unit 220 is arranged corresponding to the outer side wall of the pier 310, so that when the mobile base 210 drives the ultrasonic detection unit 220 to move along the setting direction of the ring guide frame 120, the ultrasonic detection unit 220 is used to detect the concrete quality of the pier 310.

[0103] Specifically, the mobile base 210 adopts a two-group design, which is installed at one end of the two groups of ring guides 120 respectively. This arrangement ensures that the acoustic wave detection module can cover the complete circumference of the pier 310, so as to comprehensively evaluate the concrete quality of the two piers 310 of the center tie beam. Each group of mobile bases 210 is equipped with a driving groove wheel set at the bottom. These wheel sets are tightly connected to the ring guide 120, so that the mobile base 210 can slide stably along the track direction, ensuring the accuracy and continuity of the detection. Secondly, the ultrasonic detection unit 220, as a fixed component above the mobile base 210, is a key device for realizing non-destructive testing of concrete quality. The detection end of the ultrasonic detection unit 220 is set corresponding to the outer wall of the pier 310. This design can ensure that the ultrasonic wave can effectively penetrate the concrete structure and reach the predetermined detection depth and accuracy. When the mobile base 210 moves along the ring guide 120 , the ultrasonic detection unit 220 can accurately obtain the reflection signal from the surface to the inside of the pier 310 , thereby analyzing the sound wave propagation characteristics of the concrete and detecting whether the pier 310 has cracks, cavities or other structural defects.

[0104] It is understandable that a surface detection device for a center beam pier in the present application, through the fixed setting of the ring guide frame and the image acquisition module 140, enables the device to perform all-round and multi-angle detection on the surface of the pier, thereby improving the comprehensiveness and accuracy of the detection. Secondly, the early warning module can establish a comprehensive score in real time by combining the surface image and sound wave information, and automatically determine whether the quality of the pier is qualified. This automated evaluation and early warning function significantly reduces manual intervention and improves detection efficiency. Finally, the setting of the fluid propulsion module 130 enables the ring guide frame to move in the vertical direction of the pier, achieving a high coverage of the detection, and further ensuring the detection consistency and reliability of the device at different heights.

[0105] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems or computer program products. Therefore, the present application may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, the present application may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program codes.

[0106] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0107] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0108] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0109] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. An intelligent detection method for center beam piers, characterized in that: include: A crack damage test model of the middle tie beam pier column is generated by fitting according to the geological attribute information and bearing attribute information of the middle tie beam pier column, wherein the geological attribute information includes geological soil density, geological soil friction coefficient and geological soil compressibility, and the bearing attribute information includes the size of the middle tie beam pier column, the concrete strength of the middle tie beam pier column, the prestress of the middle tie beam pier column, the bearing deformation characteristics of the middle tie beam pier column and the loading mode of the middle tie beam pier column; According to the crack damage test model, the crack position, crack geometric image data and deformation data of the crack area of ​​the center tie beam pier before damage are collected and determined as preset crack data information; An image climbing acquisition module is arranged along the arrangement direction of the middle tie beam pier column, and surface image information of the middle tie beam pier column is collected based on the image climbing acquisition module; The crack data information of the center beam pier column is extracted based on the surface image information, and the maintenance score of the center beam pier column is determined and output according to the overlap between the crack data information and the preset crack data information.

2. The intelligent detection method for center beam piers according to claim 1, characterized in that: When the crack damage test model of the middle beam pier column is generated by fitting according to the geological attribute information and the bearing attribute information of the middle beam pier column, it includes: Generate a geological-structural interaction model according to the geological soil density, geological soil friction coefficient, geological soil compressibility, center tie beam pier column size, center tie beam pier column concrete strength, center tie beam pier column prestressing, center tie beam pier column bearing deformation characteristics and center tie beam pier column loading mode; The geological-structural interaction model is simulated based on finite element analysis, and crack development paths and crack extension data of the center tie beam pier under various loads after simulation are obtained; Each load correlation formula is generated according to the crack development path and crack extension data of the center beam pier under each load, clustering is performed according to the load relationship in each load correlation formula, and the crack damage test model is established according to the clustering result.

3. The intelligent detection method for center beam piers as claimed in claim 2, characterized in that: When collecting the crack position, crack geometric image data and deformation data of the crack area of ​​the center tie beam pier before damage according to the crack damage test model, it includes: Based on the stress intensity factor analysis of fracture mechanics, the deformation data before each crack occurs in the crack damage test model and the occurrence position of each crack are obtained; Based on numerical simulation, fracture simulation is performed on the occurrence position of each of the cracks, and the expansion speed and expansion direction of each of the cracks at each preset time period and each preset load are obtained; Obtaining distance metrics between each expansion speed of each of the cracks and each expansion direction of the cracks, and establishing a distance matrix according to the distance metrics; Iteratively clustering the expansion speeds of the cracks and the expansion directions of the cracks according to the distance matrix; According to the expansion speed and expansion direction of the cracks after clustering, the type feature vector of the crack is determined, and according to the type feature vector of each crack, the position of each crack before the damage of the center tie beam pier is determined, according to the type feature vector of the crack, the crack geometric image data is determined, and according to the deformation data before the crack occurs corresponding to the type feature vector of the crack, the deformation data of the crack area is determined.

4. The intelligent detection method for center beam piers according to claim 1, characterized in that: Determining the score of the center beam pier to be repaired according to the overlap between the crack data information and the preset crack data information includes: The positions of the cracks are obtained, and according to the positions of the cracks, the overlap between the positions of the cracks in the center tie beam and the positions of the preset crack regions is determined: ； Among them, η w is the overlap of crack positions, w i is the weight coefficient of the i-th preset crack area, M is the total number of preset crack area positions, χR i (P j ) is the crack position P j An indicator function of whether it falls within the i-th preset region Ri, where N is the total number of cracks; The initial score for maintenance of the center tie beam pier is determined according to the overlap of the crack positions.

5. The intelligent detection method for center beam piers as claimed in claim 4, characterized in that: When determining the initial score of the center tie beam pier column to be repaired according to the overlap of the crack positions, it includes: Determine the initial score to be repaired according to the relationship between the crack position coincidence degree and the pre-configured first preset crack position coincidence degree and the second preset crack position coincidence degree; When the crack position coincidence is lower than the first preset crack position coincidence, the initial score to be repaired is determined to be L1; When the crack position coincidence degree is higher than or equal to the first preset crack position coincidence degree, and the crack position coincidence degree is lower than the second preset crack position coincidence degree, the initial repair score is determined to be L2; When the crack position coincidence degree is higher than or equal to the second preset crack position coincidence degree, the initial score to be repaired is determined to be L3; Wherein, the first preset crack position overlap is smaller than the second preset crack position overlap, and L1<L2<L3.

6. The intelligent detection method for center beam piers as claimed in claim 5, characterized in that: When the initial maintenance score of the middle tie beam pier is determined to be Li, i=1,2,3, it includes: Obtaining image information of each preset crack area, and obtaining deformation data of the center tie beam pier located in the preset crack area according to the image information; Determine effective evaluation data according to the relationship between the deformation data and the preset deformation data, determine an adjustment coefficient according to the relationship between the effective evaluation data and the corresponding preset deformation data, and adjust the initial score Li for repair according to the adjustment coefficient; Wherein, determining the effective evaluation data according to the relationship between the deformation data and the preset deformation data includes: When the deformation data is inconsistent with the preset deformation data, it is determined that the deformation data is not the valid evaluation data; When the deformation data is greater than the preset deformation data, the deformation data is determined to be valid evaluation data.

7. The intelligent detection method for center beam piers as claimed in claim 6, characterized in that: Determining the adjustment coefficient according to the relationship between the effective evaluation data and the corresponding preset deformation data includes: Obtaining the deformation difference between each of the effective evaluation data and the corresponding preset deformation data: ； Among them, F is the average value of the absolute value between each deformation difference, K is the total number of valid evaluation data, S e K To effectively evaluate the data, S p K is the corresponding preset deformation data; The adjustment coefficient is determined according to the relationship between the average value of the absolute value and the pre-configured first preset deformation difference value and the second preset deformation difference value: When the average value of the absolute values ​​is less than the first preset deformation difference value, the adjustment coefficient is determined to be B1; When the average value of the absolute values ​​is greater than or equal to the first preset deformation difference value, and the average value of the absolute values ​​is less than the second preset deformation difference value, the adjustment coefficient is determined to be B2; When the average value of the absolute values ​​is greater than or equal to the second preset deformation difference value, the adjustment coefficient is determined to be B3; The first preset deformation difference value is smaller than the second preset deformation difference value, and B1<B2<B3<1.

5.

8. The intelligent detection method for center beam piers as claimed in claim 7, characterized in that: When the adjustment coefficient is determined to be Bi, i=1, 2, 3, it includes: Acquire a crack image of each of the preset crack areas in the surface image, and perform grayscale value processing according to the crack image to determine the size and depth of each of the cracks; Extracting the average crack size and the average crack depth from the crack geometric image data of each of the preset crack areas, and determining them as the preset crack size and the preset crack depth; According to the size of the crack and the preset crack size and the depth of the crack and the preset crack depth, a correction coefficient is determined, and the adjustment coefficient Bi is corrected according to the correction coefficient: ； Among them, Q is the correction coefficient, V is the total number of preset crack areas, We is the size of the crack, WE is the preset crack size, Re is the depth of the crack, RE is the preset crack depth, zv and Pv are weight coefficients, and both zv and Pv are not zero.

9. An intelligent detection system for a central beam pier column, applicable to an intelligent detection method for a central beam pier column as claimed in any one of claims 1 to 8, characterized in that: include: A ring guide frame is sleeved on the outer side of the middle beam pier, wherein a movable frame is further arranged between the ring guide frame and the outer side wall of the middle beam pier; A plurality of image acquisition modules are provided, and the plurality of image acquisition modules are arranged side by side along the circumference of the ring guide frame, and the image acquisition module is fixedly connected to the ring guide frame, wherein the acquisition end of the image acquisition module is arranged opposite to the outer side wall of the middle tie beam pier, and the image acquisition module is used to acquire the surface image of the middle tie beam pier; The central control module is configured to fit and generate a crack damage test model of the central beam pier column according to the geological attribute information and the bearing attribute information of the central beam pier column, and the central control module is further configured to collect the crack position, crack geometric image data and deformation data of the crack area of ​​the central beam pier column before damage according to the crack damage test model, and determine them as preset crack data information; An output module is electrically connected to the image acquisition module and the central control module, respectively, and the output module is configured to acquire surface image information of the center tie beam pier column acquired by the image acquisition module; the output module is also configured to extract crack data information of the center tie beam pier column based on the surface image information, and determine the maintenance score of the center tie beam pier column according to the overlap between the crack data information and the preset crack data information, and output it.

10. The intelligent detection system for center beam piers as claimed in claim 9, characterized in that: Also includes: A fluid propulsion module is arranged between two adjacent image acquisition modules. One end of the fluid propulsion module is fixedly connected to the ring guide frame. The fluid propulsion module is used to drive the ring guide frame to move along the vertical direction of the pier.

Images