Urban road bridge damage monitoring and maintenance system and method

Abstract

The present invention discloses a system and method for monitoring and maintaining urban road bridge damage, which relates to the technical field of road bridge damage monitoring, and includes: a data collection module, a sorting module, a calculation module and a processing module. The present invention is capable of comprehensively considering the stress state of the bridge structure under various loads, including normal stress and shear stress, so as to achieve an accurate assessment of the stress state of the bridge structure, and can comprehensively consider the stress state assessment results and measured data of the bridge structure, to achieve a quantitative analysis of the degree of bridge damage, to provide an accurate basis for subsequent reinforcement design, and can also consider multiple factors such as the cost of reinforcement materials and the difficulty of construction during maintenance and reinforcement, to achieve optimal selection of maintenance and reinforcement, and to ensure that the reinforced bridge meets the safety and durability requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of road and bridge damage monitoring, and in particular to a system and method for monitoring and maintaining urban road and bridge damage. Background Art

[0002] With the acceleration of urbanization, urban roads and bridges, as an important part of the urban transportation network, are receiving increasing attention for their safety and durability. However, due to long-term traffic loads, natural environmental erosion, and deficiencies in design and construction, the damage problem of urban roads and bridges is becoming increasingly prominent, seriously threatening the safety and smoothness of road traffic. Therefore, it is necessary to carry out damage monitoring and corresponding maintenance of roads and bridges.

[0003] However, the current existing road bridge damage monitoring and maintenance methods may only rely on a single evaluation indicator or method, such as manually judging the degree of bridge damage through appearance inspection and simple measurement, which may result in inaccurate and incomplete evaluation results. In addition, the existing monitoring and maintenance methods may not be able to comprehensively consider multiple aspects of the bridge structure, which may lead to unreasonable and poor maintenance and reinforcement designs. In addition, the existing methods may find it difficult to obtain comprehensive and accurate bridge structure data, resulting in low reliability in the evaluation of bridge damage monitoring and maintenance. Summary of the invention

[0004] The purpose of the present invention is to provide a system and method for monitoring and maintaining urban road bridge damage, which solves the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following urban road bridge damage monitoring and maintenance system, comprising:

[0006] Data collection module: used to collect concentrated loads, shear loads, bridge section width and bridge section thickness at key locations of the bridge, and store the data in the database;

[0007] Arrangement module: used to input concentrated load, shear load, bridge section width and bridge section thickness. The arrangement module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads.

[0008] Calculation module: used to input the size of the i-th concentrated load, the size of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, and the calculation module outputs the stress state assessment value, damage degree value and optimized value of bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of bridge reinforcement;

[0009] Processing module: Based on the optimized value of bridge reinforcement, a detailed reinforcement construction plan is formulated and constructed. The bridge is continuously monitored during the maintenance and reinforcement process, and then a summary is made based on the bridge monitoring data and the bridge performance after the maintenance and reinforcement construction.

[0010] Optionally, the calculation module includes: a bridge stress submodule, a bridge damage submodule and a maintenance and reinforcement submodule.

[0011] Optionally, the calculation formula of the bridge stress submodule is as follows:

[0012] ;

[0013] in:

[0014] AUGB refers to the stress state assessment value of the bridge structure;

[0015] n refers to the number of concentrated loads, m refers to the number of shear loads, PAU i Refers to the magnitude of the i-th concentrated load, LAU i Refers to the distance from the i-th concentrated load to the bridge support, YAU i Refers to the stress coefficient under the i-th concentrated load, AAU i Refers to the cross-sectional area of ​​the bridge under the i-th load, VAU j Refers to the magnitude of the jth shear load, IAU j Refers to the section moment of inertia under the jth shear load, BAU j Refers to the bridge section width under the jth shear load, TAU j refers to the thickness of the bridge section under the jth shear load, (PAU i ×LAU i ×YAU i ) / AAU i It refers to the normal stress generated by the i-th concentrated load on the bridge section;

[0016] The processing process of the bridge stress submodule is as follows: the magnitude of the i-th concentrated load PAU i , the magnitude of the jth shear load VAU j, the bridge section width BAU under the jth shear load j and the bridge section thickness TAU under the jth shear load j It is input into the bridge stress submodule, and the stress state assessment value AUGB of the bridge structure is output based on the stress coefficient under the i-th concentrated load.

[0017] Optionally, the calculation formula of the bridge damage submodule is as follows:

[0018] ;

[0019] in:

[0020] DDRT refers to the damage degree value;

[0021] α refers to the adjustable parameter, AUGS refers to the measured stress value of the bridge structure, DDA refers to the estimated value of deformation, DDB refers to the measured deformation of the bridge structure, (AUGB-AUGS) and (DDA-DDB) refer to the deviations between the estimated value of stress state and the measured value, and between the estimated value of deformation and the measured value, respectively. These two deviations are used to measure the difference between the estimated value and the measured value, and are the basis for calculating the degree of damage.

[0022] The processing process of the bridge damage submodule is as follows: the stress state assessment value AUGB of the bridge structure is input into the bridge damage submodule, and the damage degree value DDRT is output based on the adjustable parameter α and the measured stress value AUGS of the bridge structure.

[0023] Optionally, the calculation formula of the maintenance and reinforcement submodule is as follows:

[0024] ;

[0025] in:

[0026] PSVL refers to the optimized value of bridge reinforcement;

[0027] PSA refers to the area of ​​reinforcement materials, PSB refers to the elastic modulus of reinforcement materials, PSV refers to the area of ​​bridge structure, PSN refers to the elastic modulus of bridge structure, ASA refers to safety parameter, A1 refers to the weight coefficient of cost, PSSA refers to the cost of reinforcement, A2 refers to the weight coefficient of construction difficulty, PSSB refers to the construction difficulty of reinforcement;

[0028] The processing process of the maintenance and reinforcement submodule is as follows: the stress state assessment value AUGB and the damage degree value DDRT of the bridge structure are input into the maintenance and reinforcement submodule, and the optimized value PSVL of the bridge reinforcement is output based on the area PSA of the reinforcement material and the area PSV of the bridge structure.

[0029] Optionally, in the data collection module;

[0030] The concentrated load collection process is as follows: dynamic weighing sensors are installed around the lanes and piers of the bridge to monitor the load of vehicles passing through the bridge in real time;

[0031] The shear load collection process is as follows: a shear sensor is installed at the connection between the beam and the column of the bridge to measure the shear load.

[0032] Optionally, in the data collection module;

[0033] The process of collecting the bridge section width and the bridge section thickness is: obtaining the geometric dimensions of the bridge section through the design drawings of the bridge structure, and using measurement tools to perform on-site verification measurements.

[0034] The present invention also provides a method for monitoring and maintaining urban road bridge damage, comprising the following steps:

[0035] Step S1: collecting concentrated loads, shear loads, bridge section widths and bridge section thicknesses at key locations of the bridge through a data collection module, and storing the data in a database;

[0036] Step S2: inputting concentrated loads, shear loads, bridge section width and bridge section thickness into a sorting module, and the sorting module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads;

[0037] Step S3: inputting the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, the calculation module outputs the stress state assessment value, the damage degree value, and the optimized value of the bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and the damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of the bridge reinforcement;

[0038] Step S4: Based on the optimization value of the bridge reinforcement, the processing module specifies the formulation of a detailed reinforcement construction plan and carries out the construction. The bridge is continuously monitored during the maintenance and reinforcement process, and then a summary is made based on the bridge monitoring data and the bridge performance after the maintenance and reinforcement construction.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1. The present invention outputs stress state evaluation values ​​through the bridge stress submodule. AUGB is extremely important in urban road bridge damage monitoring. By quantitatively evaluating the stress state of the bridge structure under a specific load, basic data is provided for subsequent damage identification and reinforcement design. AUGB evaluation can reflect the stress distribution of the bridge structure under load. Combined with the sensor measured stress data and AUGB evaluation results, the stress abnormality area can be compared to preliminarily locate the damage position of the bridge structure. AUGB evaluation is a quantitative indicator of the stress state of the bridge structure. By comprehensively considering the concentrated load, shear load and the geometric and physical properties of the bridge section, it can accurately reflect the stress state of the bridge structure under a specific load. Through AUGB evaluation, a more scientific bridge maintenance plan and repair plan can be formulated to improve maintenance efficiency and capital utilization efficiency.

[0041] 2. The present invention outputs the damage degree value through the bridge damage submodule. DDRT is an important indicator for measuring the damage degree of the bridge structure. According to the DDRT value, it can be determined which areas of the bridge structure are more seriously damaged and then determine the priority of reinforcement. The DDRT value provides an important basis for reinforcement and maintenance. The design of the reinforcement plan needs to fully consider the damage degree to ensure that the reinforced bridge structure meets the safety and durability requirements. DDRT damage is a quantitative indicator of the bridge damage degree. Comparing the difference between the evaluation value and the measured value can objectively reflect the damage degree of the bridge structure. Through DDRT damage evaluation, bridge maintenance plans and repair measures can be formulated more scientifically, thereby improving maintenance effects and capital utilization efficiency.

[0042] 3. The present invention outputs the optimization value of bridge reinforcement through the maintenance and reinforcement submodule. PSVL is the key to formulating the reinforcement design plan. PSVL calculation can ensure that the reinforcement materials are fully utilized and the reinforcement efficiency is improved. PSVL can balance the relationship between reinforcement effect and cost, thereby ensuring that the reinforcement cost is reduced as much as possible under the premise of meeting safety requirements. Design and maintenance through PSVL can more effectively improve the bearing capacity and durability of the bridge structure and reduce the reinforcement cost and maintenance expenses. PSVL can improve the scientificity and accuracy of bridge reinforcement design and reduce reinforcement cost and maintenance expenses, so as to improve the bearing capacity and durability of the bridge structure and extend the service life of the bridge.

[0043] 4. The present invention iterates the adjustable parameter α through the optimized value of bridge reinforcement, thereby continuously affecting the importance of the stress state assessment value AUGB of the bridge structure in the calculation process of the bridge damage submodule, thereby achieving the purpose of iterating DDRT and PSVL. Through iterative calculation, the actual damage state of the bridge structure can be gradually approached, thereby improving the accuracy of damage assessment, helping to more accurately identify potential safety hazards and take maintenance measures in time to prevent accidents. Through iterative calculation, the deformation of the bridge structure can be monitored in real time, and timely detection of abnormalities can help maintenance personnel take timely measures. The iterative algorithm can optimize the maintenance effect according to the latest damage monitoring data, making the reinforcement plan more reasonable and effective, and helping to reduce the cost and time of the reinforcement project. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 This is a flowchart of the steps of the urban road and bridge damage monitoring and maintenance method;

[0045] Figure 2 This is the overall structural diagram of the city's road and bridge damage monitoring and maintenance system;

[0046] Figure 3 This is a schematic diagram of the structure of the calculation module of the urban road and bridge damage monitoring and maintenance system. DETAILED DESCRIPTION

[0047] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0048] The present urban road bridge damage monitoring and maintenance method system is different from the existing urban road bridge damage monitoring and maintenance method. The existing urban road bridge damage monitoring and maintenance method may rely on a single evaluation index or method, such as judging the damage degree of the bridge only by appearance inspection or simple measurement, resulting in inaccurate and incomplete evaluation results. The existing method may lack a systematic evaluation and optimization process, and thus fail to comprehensively consider various factors of the bridge structure, resulting in unreasonable reinforcement design, high cost and poor effect.

[0049] The module of this urban road bridge damage monitoring and maintenance system method comprehensively considers the stress state of the bridge structure under various loads, including normal stress and shear stress, so as to achieve accurate evaluation of the stress state of the bridge structure, and comprehensively considers the stress state evaluation results and measured data of the bridge structure to achieve quantitative analysis of the degree of bridge damage, providing an accurate basis for subsequent maintenance and reinforcement. This system method comprehensively considers factors such as the performance, cost and construction difficulty of maintenance materials, and achieves efficient optimization of maintenance and reinforcement, ensuring that the reinforced bridge meets the safety and durability requirements, while reducing maintenance and reinforcement costs and improving construction efficiency.

[0050] Example 1: Please refer to Figures 1 to 3 This embodiment provides a system for monitoring and maintaining urban road and bridge damage, including:

[0051] Data collection module: used to collect concentrated loads, shear loads, bridge section width and bridge section thickness at key locations of the bridge, and store the data in the database;

[0052] Arrangement module: used to input concentrated load, shear load, bridge section width and bridge section thickness. The arrangement module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads.

[0053] Calculation module: used to input the size of the i-th concentrated load, the size of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, and the calculation module outputs the stress state assessment value, damage degree value and optimized value of bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of bridge reinforcement;

[0054] Processing module: Develop a detailed reinforcement construction plan based on the optimized value of bridge reinforcement, carry out construction, and continuously monitor the bridge during the maintenance and reinforcement process, and then summarize the bridge performance based on the bridge monitoring data and the maintenance and reinforcement construction;

[0055] The calculation modules include: bridge stress submodule, bridge damage submodule and maintenance and reinforcement submodule.

[0056] In this embodiment: the three submodules in the calculation module constitute a complete evaluation and optimization system. First, the bridge stress submodule can be used to quantitatively evaluate the stress state of the bridge structure under a specific load, which is the basis for damage monitoring. Then, the bridge damage submodule uses the evaluation results of the bridge stress submodule combined with the measured data to quantify the degree of damage of the bridge, which provides a basis for the subsequent reinforcement design. The maintenance and reinforcement submodule optimizes the reinforcement design parameters based on the results of the first two modules to ensure that the reinforced bridge meets the safety and durability requirements. Through the precise calculation of the formula, we can more accurately understand the stress state, damage degree and reinforcement requirements of the bridge, thereby avoiding the ambiguity and uncertainty that may exist in traditional methods. The application of these three submodules makes bridge damage monitoring and maintenance work more efficient. Through the calculation of the formulas in the module, we can quickly obtain evaluation results and optimization plans, greatly shortening the decision-making cycle.

[0057] Through the combined application of the bridge stress submodule and the bridge damage submodule, we can provide early warning of bridge damage. Once the stress state is abnormal or the damage level exceeds the threshold, timely intervention measures can be taken to prevent further damage. The application of the maintenance and reinforcement submodule provides a scientific basis for reinforcement design. By optimizing the reinforcement design parameters, we can ensure that the reinforcement plan is both economical and effective, avoiding waste of resources and unnecessary cost expenditure. Through timely damage monitoring and scientific reinforcement design, we can effectively extend the service life of roads and bridges, which can not only reduce traffic interruptions and safety accidents caused by bridge damage, but also reduce maintenance costs and social impacts. The combined application of multiple submodules makes the damage monitoring and maintenance of roads and bridges more comprehensive, accurate and efficient. This helps to improve the overall safety of bridges and ensure the safety of people's travel.

[0058] See also Figures 1 to 3 , the processing process of the bridge stress submodule is as follows:

[0059] ;

[0060] in:

[0061] AUGB refers to the stress state assessment value of the bridge structure;

[0062] n refers to the number of concentrated loads, m refers to the number of shear loads, PAU i Refers to the magnitude of the i-th concentrated load, LAU i Refers to the distance from the i-th concentrated load to the bridge support, YAU i Refers to the stress coefficient under the i-th concentrated load, AAU i Refers to the cross-sectional area of ​​the bridge under the i-th load, VAUj Refers to the magnitude of the jth shear load, IAU j Refers to the section moment of inertia under the jth shear load, BAU j Refers to the bridge section width under the jth shear load, TAU j refers to the thickness of the bridge section under the jth shear load, (PAU i ×LAU i ×YAU i ) / AAU i It refers to the normal stress generated by the i-th concentrated load on the bridge section;

[0063] The magnitude of the i-th concentrated load PAU i , the magnitude of the jth shear load VAU j , the bridge section width BAU under the jth shear load j and the bridge section thickness TAU under the jth shear load j It is input into the bridge stress submodule, and the stress state assessment value AUGB of the bridge structure is output based on the stress coefficient under the i-th concentrated load.

[0064] In this embodiment: the size of the i-th concentrated load in this submodule is PAU i Dynamic weighing sensors are used to monitor the weight of vehicles or pedestrians passing through the bridge in real time. When a vehicle or pedestrian passes by, the sensor will record its weight information and convert it into an electrical signal for transmission and processing. Concentrated loads can usually be monitored by sensors on the bridge structure. These sensors can record the load size borne by the bridge in real time, including vehicle loads and crowd loads. Concentrated loads are mainly generated by vehicles traveling on the bridge, pedestrians passing by, and stacked goods. These loads generate concentrated forces on the bridge structure, affecting the strength and stability of the bridge structure;

[0065] The distance LAU from the i-th concentrated load to the bridge support i The displacement of the load point is measured by displacement sensors and laser rangefinders, and then the distance from the load to the support is calculated by combining the geometric dimensions of the bridge and the load position information. The displacement sensor can monitor the deformation of the bridge structure in real time, while the laser rangefinder can accurately measure the distance between two points. The distance from the load to the support is an important parameter for evaluating the stress state of the bridge structure. Different load positions will cause different stress distributions in the bridge structure;

[0066] Stress coefficient YAU under the i-th concentrated load iUse strain sensors to measure the strain of the bridge structure, and then calculate the stress value based on the elastic modulus and geometric dimensions of the material. The strain sensor can be attached to the surface of the bridge structure or embedded in the structure to monitor the strain changes of the structure in real time. The stress coefficient is related to the shape and size of the bridge section, and it reflects the stress response of the bridge structure under a specific load.

[0067] The magnitude of the jth shear load VAU j Shear loads can also be monitored using sensors on the bridge structure. These sensors can record the deformation and stress response of the bridge structure under shear loads, which are mainly caused by lateral forces or torques on the bridge structure, such as wind and earthquake forces;

[0068] Section moment of inertia under the jth shear load IAU j The section inertia moment, section width and thickness can all be obtained from the design drawings of the bridge and through on-site measurements. On-site measurements can be carried out using tools such as laser rangefinders and tape measures. The section inertia moment is an important parameter for evaluating the bending resistance of bridge structures. It reflects the stiffness of the bridge structure under bending loads. The section inertia moment can be determined through the design drawings of the bridge structure or actual measurements.

[0069] AUGB plays a vital role in urban road bridge damage monitoring. It provides basic data for subsequent damage identification and reinforcement design by quantitatively evaluating the stress state of the bridge structure under specific loads. AUGB evaluation can reflect the stress distribution of the bridge structure under load. When the stress value exceeds the preset threshold, it can trigger the damage warning mechanism to remind management personnel to take timely countermeasures. Combining the stress data measured by the sensor and the AUGB evaluation results, the area of ​​abnormal stress can be compared to preliminarily locate the damage position of the bridge structure. Although the AUGB evaluation itself does not directly indicate the degree of damage, it provides important reference information for damage degree assessment. By comparing with the measured data, the type and degree of damage can be further analyzed. AUGB evaluation is a quantitative indicator of the stress state of the bridge structure. By comprehensively considering concentrated loads, shear loads, and the geometric and physical properties of the bridge section, it can more accurately reflect the stress state of the bridge structure under specific loads. Compared with traditional monitoring methods such as visual inspection or manual inspection, AUGB assessment provides a more accurate and quantitative means of stress state assessment, which helps to timely discover potential stress concentration or damage areas. Through AUGB assessment, bridge maintenance plans and repair programs can be formulated more scientifically to improve maintenance efficiency and capital utilization efficiency. AUGB is used to evaluate the safety performance of bridge structures under specific loads and provide a basis for bridge reinforcement or reconstruction. AUGB combines other monitoring data, such as deformation and crack width, to conduct a comprehensive assessment of the overall health status of the bridge structure. AUGB can accurately identify stress concentration areas or potential damage points in the bridge structure and provide precise positioning for maintenance work. According to the calculation of AUGB, the safety of the bridge structure can be improved and the risk of structural damage caused by excessive stress can be reduced. This submodule provides a more accurate and quantitative means of stress state assessment, reduces the subjectivity and error of human judgment, and combines modern monitoring technology to achieve real-time monitoring and dynamic evaluation of bridge structures.

[0070] See also Figures 1 to 3 , the bridge damage processing process is as follows:

[0071] ;

[0072] in:

[0073] DDRT refers to the damage degree value;

[0074] α refers to the adjustable parameter, AUGS refers to the measured stress value of the bridge structure;

[0075] DDA refers to the deformation assessment value, which is calculated based on the bridge structure model and stress state assessment results. This value is a benchmark value;

[0076] DDB refers to the measured deformation of the bridge structure, (AUGB-AUGS) and (DDA-DDB) refer to the deviation between the stress state assessment value and the measured value, and between the deformation assessment value and the measured value, respectively. These two deviations are used to measure the difference between the assessment value and the measured value, and are the basis for calculating the damage degree.

[0077] The stress state assessment value AUGB of the bridge structure is input into the bridge damage submodule, and the damage degree value DDRT is output based on the adjustable parameter α and the measured stress value AUGS of the bridge structure.

[0078] In this embodiment: DDRT is an important indicator for measuring the degree of damage to the bridge structure. According to the value of DDRT damage, it can be determined which areas of the bridge structure are more seriously damaged, thereby determining the priority of reinforcement. DDRT damage provides an important basis for reinforcement and maintenance. The design of the reinforcement plan needs to fully consider the degree of damage to ensure that the reinforced bridge structure meets the safety and durability requirements. After the reinforcement construction, the DDRT damage can be calculated again to evaluate the reinforcement effect and ensure the effectiveness of the reinforcement measures. DDRT damage is a quantitative indicator of the degree of bridge damage. By comparing the difference between the evaluation value and the measured value, it can objectively reflect the degree of damage to the bridge structure. Compared with traditional damage detection methods, such as manual tapping and appearance inspection, DDRT damage provides a more objective and accurate means of damage assessment. Through DDRT damage assessment, bridge maintenance plans and repair measures can be formulated more scientifically to improve maintenance effects and capital efficiency. This submodule can combine the calculation of DDRT with the historical monitoring data of the bridge, analyze the development trend and causes of damage, and provide a scientific basis for the maintenance and management of the bridge. This submodule provides a more objective and accurate means of damage assessment, reduces the errors and uncertainties of human judgment, and combines modern monitoring technology and data analysis methods to achieve real-time monitoring and dynamic assessment of the damage degree of the bridge structure.

[0079] See also Figures 1 to 3 , the maintenance and reinforcement submodule processing process is as follows:

[0080] ;

[0081] in:

[0082] PSVL refers to the optimized value of bridge reinforcement;

[0083] PSA refers to the area of ​​reinforcement materials, PSB refers to the elastic modulus of reinforcement materials, PSV refers to the area of ​​bridge structure, PSN refers to the elastic modulus of bridge structure, ASA refers to safety parameter, A1 refers to the weight coefficient of cost, PSSA refers to the cost of reinforcement, A2 refers to the weight coefficient of construction difficulty, PSSB refers to the construction difficulty of reinforcement;

[0084] The stress state assessment value AUGB and the damage degree value DDRT of the bridge structure are input into the maintenance and reinforcement submodule, and the optimized value PSVL of the bridge reinforcement is output based on the area PSA of the reinforcement material and the area PSV of the bridge structure.

[0085] In this embodiment: PSVL is the key to formulating a reinforcement design plan. Through the calculation of PSVL, it can be ensured that the reinforcement materials are fully utilized and the reinforcement efficiency is improved. PSVL can balance the relationship between reinforcement effect and cost, ensuring that the reinforcement cost is reduced as much as possible under the premise of meeting safety requirements. Maintenance based on PSVL can simplify the construction process to a certain extent, reduce the construction difficulty, and improve the construction efficiency. Design and maintenance through PSVL can more effectively improve the bearing capacity and durability of the bridge structure, and reduce the reinforcement cost and maintenance fee. This submodule is used to guide the bridge reinforcement design process, determine the type, quantity, layout and other parameters of the reinforcement materials, and optimize and improve the reinforcement plan in combination with the monitoring data and damage assessment results of the bridge. The calculation of PSVL can improve the scientificity and accuracy of the bridge reinforcement design, reduce the reinforcement cost and maintenance fee, and improve the bearing capacity and durability of the bridge structure, and extend the service life of the bridge. This submodule provides a more scientific and accurate reinforcement design method, reduces the subjectivity and experience of the reinforcement design, and combines modern optimization algorithms and monitoring technologies to realize the intelligentization and automation of bridge reinforcement design.

[0086] Furthermore: the present invention performs cyclic adjustment on the adjustable parameter α in the bridge damage submodule by maintaining the optimized value PSVL of the bridge reinforcement calculated by the reinforcement submodule. By adjusting the value of α, the importance of the stress state assessment value AUGB of the bridge structure in the calculation process of the bridge damage submodule can be continuously affected, thereby achieving the purpose of cyclic iteration of DDRT and PSVL.

[0087] First: α new =α old +SA×(PSVL-MV);

[0088] Second: Set the loop termination condition:

[0089] Termination condition 1: The number of iterations i is 100;

[0090] Termination condition 2: |DDRT new -DDRT old |<0.0005;

[0091] in:

[0092] α new refers to the updated adjustable parameter, α oldAdjustable parameters before referencing update, MV referencing comparison threshold, DDRT new Refers to the updated damage level value, DDRT old Refers to the damage level value before updating;

[0093] In this embodiment: through iterative calculation, the actual damage state of the bridge structure can be gradually approached, thereby improving the accuracy of damage assessment, helping to more accurately identify potential safety hazards, taking maintenance measures in time, and preventing accidents. The iterative algorithm can be integrated into the intelligent monitoring system to achieve automated and intelligent decision support, which enables maintenance personnel to make decisions faster and reduce the subjectivity and uncertainty of human judgment. Through iterative calculation, the deformation of the bridge structure can be monitored in real time, abnormal deformation can be discovered in time and early warning can be issued, which helps maintenance personnel to take measures in time to prevent the bridge structure from being damaged due to excessive deformation. The iterative algorithm can optimize the maintenance effect based on the latest damage monitoring data, make the reinforcement plan more reasonable and effective, help reduce the cost and time of the reinforcement project, and improve the reinforcement effect. Through accurate damage assessment and optimized reinforcement design, the service life of the bridge can be extended, the cost caused by maintenance and replacement can be reduced, and the overall performance and sustainability of urban road bridges can be improved. The change of PSVL will lead to changes in the stiffness and bearing capacity of the bridge structure, thereby affecting the damage degree value DDRT through the adjustable parameter α, so that the damage assessment result can gradually approach the actual situation, providing a more accurate and reliable basis for reinforcement design.

[0094] In the specific implementation process, multiple sub-modules in this method are used to form the xx system, and the size of the i-th concentrated load PAU is i , the magnitude of the jth shear load VAU j , the bridge section width BAU under the jth shear load j and the bridge section thickness TAU under the jth shear load jInput into the bridge stress submodule, and output the stress state assessment value AUGB of the bridge structure based on the stress coefficient under the i-th concentrated load. AUGB plays a vital role in urban road bridge damage monitoring. By quantitatively evaluating the stress state of the bridge structure under a specific load, it provides basic data for subsequent damage identification and reinforcement design. AUGB assessment can reflect the stress distribution of the bridge structure under load. Combining the sensor measured stress data and AUGB assessment results, the stress abnormality area can be compared, and then the damage position of the bridge structure can be preliminarily located. AUGB assessment is a quantitative indicator of the stress state of the bridge structure. By comprehensively considering the concentrated load, shear load and the geometric and physical characteristics of the bridge section, it can more accurately reflect the stress state of the bridge structure under a specific load. Through AUGB assessment, a more scientific bridge maintenance plan and repair plan can be formulated to improve maintenance efficiency and capital utilization efficiency;

[0095] The stress state assessment value AUGB of the bridge structure is input into the bridge damage submodule, and the damage degree value DDRT is output based on the adjustable parameter α and the measured stress value AUGS of the bridge structure. DDRT is an important indicator for measuring the damage degree of the bridge structure. According to the DDRT damage value, it can be judged which areas of the bridge structure are more seriously damaged and then the priority of reinforcement can be determined. The DDRT damage value provides an important basis for reinforcement and maintenance. The design of the reinforcement plan needs to fully consider the damage degree to ensure that the reinforced bridge structure meets the safety and durability requirements. DDRT damage is a quantitative indicator of the bridge damage degree. By comparing the difference between the assessment value and the measured value, the damage degree of the bridge structure can be objectively reflected. Through DDRT damage assessment, more scientific bridge maintenance plans and repair measures can be formulated to improve maintenance effects and capital utilization efficiency.

[0096] The stress state assessment value AUGB and the damage degree value DDRT of the bridge structure are input into the maintenance and reinforcement submodule, and the optimized value PSVL of the bridge reinforcement is output based on the area PSA of the reinforcement material and the area PSV of the bridge structure. PSVL is the key to formulating the reinforcement design plan. The calculation of PSVL can ensure that the reinforcement materials are fully utilized to improve the reinforcement efficiency. PSVL can balance the relationship between reinforcement effect and cost to ensure that the reinforcement cost is reduced as much as possible while meeting the safety requirements. Design and maintenance through PSVL can more effectively improve the bearing capacity and durability of the bridge structure and reduce the reinforcement cost and maintenance cost. PSVL calculation can improve the scientificity and accuracy of bridge reinforcement design, reduce reinforcement cost and maintenance cost, and improve the bearing capacity and durability of the bridge structure to extend the service life of the bridge.

[0097] Example 2: Please refer to Figure 1 , Figure 2 and Figure 3, in the data collection module;

[0098] The process of collecting concentrated loads is as follows: dynamic weighing sensors are installed around the lanes and piers of the bridge to monitor the load of vehicles passing through the bridge in real time;

[0099] The shear load collection process is as follows: shear sensors are installed at the connection between the beam and column of the bridge to measure the shear load;

[0100] The process of collecting the bridge section width and bridge section thickness is as follows: the geometric dimensions of the bridge section are obtained through the design drawings of the bridge structure, and the measurement tools are used to verify the measurements on site.

[0101] In this embodiment: dynamic weighing sensors are usually installed at key positions of the bridge, such as the bridge deck, bridge piers, etc., to monitor the weight of vehicles or pedestrians passing through the bridge in real time. When vehicles or pedestrians pass by, the sensor will record their weight information and convert it into electrical signals for transmission and processing. Through the data mobile phone module and based on a variety of sensors, various information on safety damage of the bridge can be collected in real time for damage detection and maintenance.

[0102] A method for monitoring and maintaining urban road bridge damage comprises the following steps:

[0103] Step S1: collecting concentrated loads, shear loads, bridge section widths and bridge section thicknesses at key locations of the bridge through a data collection module, and storing the data in a database;

[0104] Step S2: inputting concentrated loads, shear loads, bridge section width and bridge section thickness into a sorting module, and the sorting module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads;

[0105] Step S3: inputting the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, the calculation module outputs the stress state assessment value, the damage degree value, and the optimized value of the bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and the damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of the bridge reinforcement;

[0106] Step S4: Based on the optimization value of the bridge reinforcement, the processing module specifies the formulation of a detailed reinforcement construction plan and carries out the construction. The bridge is continuously monitored during the maintenance and reinforcement process, and then a summary is made based on the bridge monitoring data and the bridge performance after the maintenance and reinforcement construction.

[0107] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An urban road bridge damage monitoring and maintenance system, characterized by: include: Data collection module: used to collect concentrated loads, shear loads, bridge section width and bridge section thickness at key locations of the bridge, and store the data in the database; Arrangement module: used to input concentrated load, shear load, bridge section width and bridge section thickness. The arrangement module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads. Calculation module: used to input the size of the i-th concentrated load, the size of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, and the calculation module outputs the stress state assessment value, damage degree value and optimized value of bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of bridge reinforcement; Processing module: Develop a detailed reinforcement construction plan based on the optimized value of bridge reinforcement, carry out construction, and continuously monitor the bridge during the maintenance and reinforcement process, and then summarize the bridge performance based on the bridge monitoring data and the maintenance and reinforcement construction; Wherein, the calculation module includes a bridge stress submodule, a bridge damage submodule and a maintenance and reinforcement submodule; The calculation formula of the bridge stress submodule is as follows: ； in: AUGB refers to the stress state assessment value of the bridge structure; n refers to the number of concentrated loads, m refers to the number of shear loads, PAU i Refers to the magnitude of the i-th concentrated load, LAU i Refers to the distance from the i-th concentrated load to the bridge support, YAU i Refers to the stress coefficient under the i-th concentrated load, AAU i Refers to the cross-sectional area of ​​the bridge under the i-th load, VAU j Refers to the magnitude of the jth shear load, IAU j Refers to the section moment of inertia under the jth shear load, BAU j Refers to the bridge section width under the jth shear load, TAU j refers to the thickness of the bridge section under the jth shear load, (PAU i ×LAU i ×YAU i ) / AAU i It refers to the normal stress generated by the i-th concentrated load on the bridge section; The processing process of the bridge stress submodule is as follows: the magnitude of the i-th concentrated load PAU i , the magnitude of the jth shear load VAU j , the bridge section width BAU under the jth shear load j and the bridge section thickness TAU under the jth shear load j Input it into the bridge stress submodule, and output the stress state assessment value AUGB of the bridge structure based on the stress coefficient under the i-th concentrated load; The calculation formula of the bridge damage submodule is as follows: ； in: DDRT refers to the damage degree value; α refers to the adjustable parameter, AUGS refers to the measured stress value of the bridge structure, DDA refers to the estimated value of deformation, DDB refers to the measured deformation of the bridge structure, (AUGB-AUGS) and (DDA-DDB) refer to the deviations between the estimated value of stress state and the measured value, and between the estimated value of deformation and the measured value, respectively. These two deviations are used to measure the difference between the estimated value and the measured value, and are the basis for calculating the degree of damage. The processing process of the bridge damage submodule is as follows: inputting the stress state assessment value AUGB of the bridge structure into the bridge damage submodule, and outputting the damage degree value DDRT based on the adjustable parameter α and the measured stress value AUGS of the bridge structure; The calculation formula of the maintenance reinforcement submodule is as follows: ； in: PSVL refers to the optimized value of bridge reinforcement; PSA refers to the area of ​​reinforcement materials, PSB refers to the elastic modulus of reinforcement materials, PSV refers to the area of ​​bridge structure, PSN refers to the elastic modulus of bridge structure, ASA refers to safety parameter, A1 refers to the weight coefficient of cost, PSSA refers to the cost of reinforcement, A2 refers to the weight coefficient of construction difficulty, PSSB refers to the construction difficulty of reinforcement; The processing process of the maintenance and reinforcement submodule is as follows: the stress state assessment value AUGB and the damage degree value DDRT of the bridge structure are input into the maintenance and reinforcement submodule, and the optimized value PSVL of the bridge reinforcement is output based on the area PSA of the reinforcement material and the area PSV of the bridge structure.

2. The urban road bridge damage monitoring and maintenance system according to claim 1 is characterized by: In the data collection module; The concentrated load collection process is as follows: dynamic weighing sensors are installed around the lanes and piers of the bridge to monitor the load of vehicles passing through the bridge in real time; The shear load collection process is as follows: a shear sensor is installed at the connection between the beam and the column of the bridge to measure the shear load.

3. The urban road bridge damage monitoring and maintenance system according to claim 1 is characterized in that: In the data collection module; The process of collecting the bridge section width and the bridge section thickness is: obtaining the geometric dimensions of the bridge section through the design drawings of the bridge structure, and using measurement tools to perform on-site verification measurements.

4. The monitoring and maintenance method of the urban road bridge damage monitoring and maintenance system according to claim 1 is characterized in that: The following steps are involved: Step S1: collecting concentrated loads, shear loads, bridge section widths and bridge section thicknesses at key locations of the bridge through a data collection module, and storing the data in a database; Step S2: inputting concentrated loads, shear loads, bridge section width and bridge section thickness into a sorting module, and the sorting module outputs the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the bridge section width under the j-th shear load and the bridge section thickness under the j-th shear load based on the number of concentrated loads and the number of shear loads; Step S3: inputting the magnitude of the i-th concentrated load, the magnitude of the j-th shear load, the width of the bridge section under the j-th shear load, and the thickness of the bridge section under the j-th shear load into the calculation module, the calculation module outputs the stress state assessment value, the damage degree value, and the optimized value of the bridge reinforcement of the bridge structure, sets preliminary maintenance and reinforcement design parameters based on the stress state assessment value and the damage degree value of the bridge structure, and optimizes the maintenance and reinforcement through the optimized value of the bridge reinforcement; Step S4: Based on the optimization value of the bridge reinforcement, the processing module specifies the formulation of a detailed reinforcement construction plan and carries out the construction. The bridge is continuously monitored during the maintenance and reinforcement process, and then a summary is made based on the bridge monitoring data and the bridge performance after the maintenance and reinforcement construction.

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