A bridge monitoring system and a bridge monitoring method

Abstract

The invention discloses a bridge monitoring system, wherein the bridge comprises a column pier and a beam slab; the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client viewing system; the on-site monitoring system comprises a target arranged on the beam slab and an intelligent camera for observing the target, the intelligent camera has built-in automatic recognition program and solution algorithm program, the intelligent camera recognizes and observes the target, monitors the vertical displacement of the target, solves the vertical displacement data y of the target and uploads it to the cloud platform analysis system; the cloud platform analysis system comprises an analysis algorithm program, and when the on-site monitoring system is in a real-time monitoring state, the cloud platform analysis system receives the vertical displacement data y of the target input by the intelligent camera in real time, and automatically generates a real-time displacement curve of the target changing with time in the vertical direction, that is, a dynamic and static deflection combination curve of the vertical displacement of the beam slab at the target installation location changing with time; the client viewing system can view the dynamic and static deflection combination curve automatically generated by the cloud platform analysis system.

Description

Technical Field

[0001] The present invention relates to the technical field of bridge monitoring, and in particular to a bridge monitoring system and a monitoring method based on machine vision. Background Art

[0002] After being put into use, in addition to bearing various natural loads, the bridge will inevitably bear vehicle dynamic loads, overloads or impacts, which will inevitably cause changes in the mechanical or structural properties of the bridge. This inherent change will be manifested on the bridge surface in the form of dynamic and static deflections. In order to understand the safety status of the bridge, it is necessary to conduct long-term structural safety monitoring to prevent accidents such as bridge collapse.

[0003] Traditional bridge monitoring methods use accelerometers, strain gauges, dial gauges, or manual inspections. These methods can only detect single-point physical quantities of the structure, and have the disadvantages of low efficiency, slow speed, poor repeatability, and large environmental limitations. Bridge safety inspections using bridge inspection vehicles have a small scope of application. For example, when inspecting large and long bridges such as crossing rivers, canyons, and elevated bridges at high locations, it is impossible to set up inspection brackets under the bridges to monitor the main beams, bearings, and piers. When using levels to detect the deflection of bridges, when conducting deflection inspections on large bridges, especially large-span bridges, it is necessary to set up level gauges at multiple observation locations in sequence. The level is connected with water pipes, and the installation and layout are cumbersome. In addition, due to the influence of the dynamic changes of the bridge, the observation point where the level is located is also in dynamic change. The water flow in the water pipe is slowly balanced, and the horizontal sight axis of the level is always changing, and the measurement accuracy cannot be guaranteed; the deflection monitoring accuracy based on differential GNSS is low, generally only reaching the centimeter level. For high-precision deflection detection of small and medium-sized bridges, differential GNSS usually cannot meet the use requirements; deflection monitoring based on automatic total station, automatic total station is expensive, and the monitoring speed is slow when monitoring long bridges. In addition, automatic total station is a precision instrument and is not easy to protect for outdoor monitoring.

[0004] Therefore, it is necessary to provide a bridge monitoring system and a monitoring method that can simply, effectively and practicably perform automated real-time monitoring of the deflection monitoring items of the bridge to ensure the structural safety of the bridge. Summary of the invention

[0005] In order to improve the existing technology, the present invention proposes a bridge monitoring system and a monitoring method. The system can simultaneously measure the dynamic and static deflections of the bridge beams and slabs and the changes in the beam and slab surface curves. The system has high monitoring accuracy and can effectively save monitoring costs and time. It is also easy to install and implement and has good safety. The monitoring process will not affect the local bridge traffic.

[0006] The present invention will achieve technical improvement through the following technical solutions: a bridge monitoring system, the bridge includes a column pier and a beam slab erected on the column pier; the bridge monitoring system includes a field monitoring system, a cloud platform analysis system and a client viewing system; the field monitoring system includes a target set on the beam slab and an intelligent camera for observing the target, the intelligent camera has a built-in automatic recognition program and a solution algorithm program, the intelligent camera recognizes and observes the target set on the beam slab, the intelligent camera monitors the vertical displacement of the target in real time and solves the vertical displacement data y of the target, and uploads the vertical displacement data y to the cloud platform analysis system in real time; the cloud platform analysis system includes an analysis algorithm program, when the field monitoring system is in a real-time monitoring state, the cloud platform analysis system receives the vertical displacement data y of the target input by the intelligent camera in real time, analyzes the vertical displacement data y in real time and automatically generates a real-time displacement curve of the target in the vertical direction over time, the real-time displacement curve is a dynamic and static deflection combination curve of the vertical displacement of the beam slab where the target is installed over time; the client viewing system can view the dynamic and static deflection combination curve automatically generated by the cloud platform analysis system.

[0007] Furthermore, the static and dynamic deflection combination curve is a combination of a static deflection curve showing the static deflection of the beam and slab in a wavy shape on the time axis and a dynamic deflection curve with multiple vertical bars that are discontinuous on the time axis. The cloud platform analysis system includes a digital low-pass filtering algorithm program, through which the static and dynamic deflection combination curve of the vertical displacement of the beam and slab at the installation target location that changes with time can be decomposed into a static deflection curve in a wavy shape that changes with time and a dynamic deflection curve with multiple vertical bars that are discontinuous on the time axis. The client viewing system can separately view the static deflection curve and the dynamic deflection curve after being decomposed by the cloud platform analysis system.

[0008] Furthermore, the cloud platform analysis system is provided with a static deflection alarm value Y 静警 And dynamic deflection alarm value Y 动警 When the cloud platform analysis system detects that the vertical displacement data y of the target exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system views the static deflection curve and dynamic deflection curve within the alarm time period, and finds that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 The bridge risk is determined when the deflection alarm value Y 静警 and Y 动警 Set according to the provisions of the bridge design documents.

[0009] Furthermore, the target is arranged at the position of maximum mid-span deflection of the beam and slab.

[0010] The present invention also provides a bridge monitoring method, which is performed by using the above bridge monitoring system. The bridge monitoring method is implemented according to the following steps:

[0011] 1) Setting a target on the beam of the bridge to be tested, and setting an intelligent camera on the pier of the bridge to be tested or near the bridge. The intelligent camera has a built-in automatic recognition program and a solution algorithm program, so that the intelligent camera can recognize and observe the target set on the beam;

[0012] 2) View the system through the client and set the static deflection alarm value Y in the cloud platform analysis system 静警 And dynamic deflection alarm value Y 动警 ;

[0013] 3) The intelligent camera is used to monitor the vertical displacement of the target in real time and calculate the vertical displacement data y of the target. The intelligent camera uploads the vertical displacement data y to the cloud platform analysis system in real time;

[0014] 4) The cloud platform analysis system includes an analysis algorithm program. When the intelligent camera is in real-time monitoring state, the cloud platform analysis system receives the vertical displacement data y of the target input by the intelligent camera in real time, and analyzes the vertical displacement data y in real time to automatically generate a real-time displacement curve of the target in the vertical direction over time. The real-time displacement curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate at the target installation location over time;

[0015] 5) The cloud platform analysis system includes a digital low-pass filter algorithm program, which enables the cloud platform analysis system to decompose the dynamic and static deflection combined curve of the vertical displacement of the beam plate at the installation target location into a wavy static deflection curve that changes with time and a discontinuous multi-segment vertical strip dynamic deflection curve that changes with time through the program;

[0016] 6) The client viewing system can view the dynamic and static deflection combined curves, the disassembled static deflection curves and the dynamic deflection curves automatically generated by the cloud platform analysis system;

[0017] 7) When the cloud platform analysis system detects that the vertical displacement data y of the target exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system checks the static deflection curve and dynamic deflection curve within the alarm time period and finds that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 Determine bridge risks when necessary;

[0018] Further, in step 2), the static deflection alarm value Y 静警 And dynamic deflection alarm value Y 动警Set according to the provisions of the bridge design documents.

[0019] The present invention also achieves technical improvement through the following technical solution 2: a bridge monitoring system, the bridge includes a pier and a beam mounted on the pier, the driving direction on the beam is defined as the Z direction, the horizontal direction perpendicular to the driving direction is the X direction, and the vertical direction is the Y direction; the bridge monitoring system includes a field monitoring system, a cloud platform analysis system and a client viewing system; the beam is equally divided into a plurality of monitoring grid areas within the monitoring range of the field monitoring system, the field monitoring system includes targets arranged at a certain interval on the corresponding monitoring grid areas of the beam and an intelligent camera for observing a plurality of targets, and the position data z of each target in the driving direction of the beam is determined based on a certain target, and the position data z of each target in the driving direction of the beam is uploaded to the cloud platform analysis system through the client viewing system; the intelligent camera has a built-in automatic recognition program and a solution algorithm program, and the intelligent camera recognizes and Observe multiple targets set on the beam and slab, the intelligent camera monitors the two-dimensional displacement of each target in the X direction and the Y direction in real time and calculates the two-dimensional displacement data x, y of each target, and uploads the two-dimensional displacement data x, y to the cloud platform analysis system in real time; the cloud platform analysis system includes an analysis algorithm program, and when the on-site monitoring system is in a real-time monitoring state, the cloud platform analysis system receives the two-dimensional displacement data x, y of each target input by the intelligent camera in real time, combines the pre-input position data z of each target in the driving direction, analyzes the three-dimensional displacement data x, y, z of each target in real time, and combines the three-dimensional displacement data x, y, z of each target to generate a beam and slab curved surface image at each time point, and the beam and slab curved surface image is used to reflect the specific state of the beam and slab of the bridge under the action of dynamic and static deflection at a specific time point; the client viewing system can view the beam and slab curved surface image of the bridge beam and slab at each time point automatically generated by the cloud platform analysis system.

[0020] Furthermore, the cloud platform analysis system combines the beam and slab surface images at each time point to form an animation that reflects the changes in the beam and slab of the bridge within a time period. The client viewing system can specify a time period to view the animation display of the beam and slab of the bridge under the action of dynamic and static deflections within the time period.

[0021] Furthermore, the cloud platform analysis system is provided with a horizontal displacement alarm value X 警 When the cloud platform analysis system detects that the horizontal displacement data x of a target exceeds the horizontal displacement alarm value X 警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system can view the animation display of the bridge beam and the three-dimensional displacement data x, y, z of the target on it in the selected time period to determine the bridge risk and the specific location of the risk. The horizontal displacement alarm value X 警 Set according to the provisions of the bridge design documents.

[0022] The present invention also provides a bridge monitoring method, which is performed by using the above bridge monitoring system. The bridge monitoring method is implemented according to the following steps:

[0023] 1) The beam and slab of the bridge to be tested are equally divided into multiple monitoring grid areas, and targets are set on the corresponding monitoring grid areas of the beam and slab at a certain interval. Taking one of the targets as a reference, the position data z of each target in the driving direction of the beam and slab is determined, and the position data z of each target in the driving direction of the beam and slab is uploaded to the cloud platform analysis system through the client viewing system;

[0024] An intelligent camera is installed on the pier of the bridge to be measured or near the bridge. The intelligent camera has a built-in automatic recognition program and a solution algorithm program, which enables the intelligent camera to recognize and observe multiple targets set on the beam plate;

[0025] 2) View the system through the client and set the horizontal displacement alarm value X in the cloud platform analysis system 警 ;

[0026] 3) The smart camera monitors the two-dimensional displacement of each target in the horizontal direction X and the vertical direction Y in real time and calculates the two-dimensional displacement data x and y of each target. The smart camera uploads the two-dimensional displacement data x and y to the cloud platform analysis system in real time;

[0027] 4) The cloud platform analysis system includes an analysis algorithm program. When the intelligent camera is in real-time monitoring state, the cloud platform analysis system receives the two-dimensional displacement data x, y of each target input by the intelligent camera in real time, combines the pre-input position data z of each target in the driving direction, analyzes the three-dimensional displacement data x, y, z of each target in real time, and combines the three-dimensional displacement data x, y, z of each target to generate a beam slab surface image at each time point. The beam slab surface image reflects the specific state of the bridge beam slab under the action of dynamic and static deflection at a specific time point;

[0028] 5) Instruct the cloud platform analysis system to combine the beam and slab surface images at each time point to form an animation reflecting the changes of the beam and slab of the bridge within the time period;

[0029] 6) The client viewing system can specify a time period to view the animation display of the bridge beams and slabs under dynamic and static deflections within that time period;

[0030] 7) When the cloud platform analysis system detects that the horizontal displacement data x of a target exceeds the horizontal displacement alarm value X 警 When a risk occurs, the cloud platform analysis system sends an alarm reminder to the client viewing system, which can then view the animated display of the bridge beams and slabs in the selected time period and the three-dimensional displacement data x, y, and z of the targets thereon to determine the bridge risk and its specific location.

[0031] The present invention has the following beneficial effects: the bridge monitoring system of the present invention can simultaneously monitor the dynamic and static deflections of the bridge beams and slabs and the health status of the beam and slab curved surface changes, realizes non-contact high-precision monitoring, can effectively save monitoring costs and time, and is easy to install and implement, has good safety, and the monitoring process will not affect the local bridge traffic. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a schematic diagram of the structure of the bridge monitoring system of the present invention;

[0033] Figure 2 It is a schematic diagram of a working scenario of an on-site monitoring system of a bridge monitoring system according to a first embodiment of the present invention;

[0034] Figure 3 yes Figure 2 A schematic diagram of a combined curve of dynamic and static deflections of a certain position of a beam and slab monitored by a bridge monitoring system changing with time under the implementation method;

[0035] Figure 4 yes Figure 2 A schematic diagram of a static deflection curve of a certain position of a beam and slab monitored by a bridge monitoring system changing with time under the implementation method;

[0036] Figure 5 yes Figure 2 A schematic diagram of a dynamic deflection curve of a certain position of a beam and slab monitored by a bridge monitoring system changing with time under the implementation method;

[0037] Figure 6 is a schematic diagram of a working scenario of an on-site monitoring system of a bridge monitoring system according to a second embodiment of the present invention;

[0038] Figure 7 yes Figure 6 Schematic diagram of the target arrangement in a beam-plate grid format according to the implementation method;

[0039] Figure 8 yes Figure 6 Schematic diagram of the state of the entire beam and slab monitored by the bridge monitoring system at time point t1 under the implementation method;

[0040] Fig. 9 yes Figure 6 Schematic diagram of the state of the entire beam and slab monitored by the bridge monitoring system at time point t2 under the implementation method;

[0041] Fig.10 yes Figure 6 Schematic diagram of the state of the entire beam and slab monitored by the bridge monitoring system at time point t3 under the implementation method;

[0042] In the figure: 1. pier; 2. beam; 3. smart camera; 4. ball seat; 5. target; 6. solar power supply module; 7. electronic control system. DETAILED DESCRIPTION

[0043] The following is combined with Figure 1 To Attachment Fig.10 , the present invention is further illustrated by specific examples.

[0044] Please refer to Figure 1 to Figure 2 As shown, the first embodiment of the present invention provides a bridge monitoring system for monitoring the dynamic and static deflection of a bridge. The bridge includes a column pier 1 and a beam slab 2 erected on the column pier 1. The driving direction on the beam slab 2 is defined as the Z direction, the horizontal direction perpendicular to the driving direction is defined as the X direction, and the vertical direction is defined as the Y direction.

[0045] Please refer to Figure 1 As shown, the bridge monitoring system includes an on-site monitoring system, a cloud platform analysis system, and a client viewing system;

[0046] Please refer to Figure 2 As shown, the on-site monitoring system includes an intelligent camera 3, a ball seat 4, a target 5, a solar power supply module 6 and an electric control system 7.

[0047] The target 5 can be set at any position within the range to be measured of the beam slab 2. In order to monitor the dynamic and static deflections of the beam slab 2, in the first embodiment of the present application, the target 5 is set at the maximum deflection position (center position) of the mid-span of the beam slab 2.

[0048] The smart camera 3 is arranged on the pier 1 or near the bridge, so that the smart camera 3 can observe the entire bridge and the target 5 thereon. When the smart camera 3 is arranged on the pier 1, the smart camera 3 can be installed through the ball seat 4 so that the angle of the ball seat 4 can be rotated to meet the illumination line of sight of the smart camera 3.

[0049] The solar power supply module 6 is connected to the electric control system 7 and then installed on the pier 1. It is configured as a set with the smart camera 3 and is connected to the smart camera 3 through a cable to power the smart camera 3. The image information and solution data results collected by the smart camera 3 are transmitted to the cloud platform analysis system through the network for viewing by the remote client viewing system connected to the network. The remote client viewing system exchanges information with the electric control system 7 through the network.

[0050] The target 5 may be provided with an integrated lighting device to provide lighting for the smart camera 3 for nighttime monitoring.

[0051] The intelligent camera 3 has a built-in automatic recognition program and a solution algorithm program.

[0052] In the initial state: the intelligent camera 3 identifies and observes the target 5 set on the beam 2;

[0053] In the real-time monitoring state: the intelligent camera 3 monitors the vertical displacement of the target 5 in real time and calculates the vertical displacement data y of the target 5, and uploads the vertical displacement data y to the cloud platform analysis system in real time. The cloud platform analysis system includes an analysis algorithm program. The cloud platform analysis system receives the vertical displacement data y of the target 5 input by the intelligent camera 3 in real time, analyzes the vertical displacement data y in real time and automatically generates a real-time displacement curve of the target 5 in the vertical direction changing with time. The real-time displacement curve is a combined dynamic and static deflection curve of the vertical displacement of the beam slab 2 where the target 5 is installed changing with time.

[0054] Please refer to Figures 3 to 5 As shown, the static and dynamic deflection combination curve is a combination of a static deflection curve showing the static deflection of the beam slab 2 in a wavy shape on the time axis and a dynamic deflection curve with multiple vertical bars in a discontinuous shape on the time axis. The cloud platform analysis system includes a digital low-pass filter algorithm program, through which the static and dynamic deflection combination curve of the vertical displacement of the beam slab 2 at the installation target 5 can be disassembled into a static deflection curve in a wavy shape that changes with time and a dynamic deflection curve with multiple vertical bars in a discontinuous shape that changes with time. The monitoring personnel can view the dynamic and static deflection combination curve automatically generated by the cloud platform analysis system, the static deflection curve after disassembly, and the dynamic deflection curve through the client viewing system.

[0055] In this embodiment, a static deflection alarm value Y is further set in the cloud platform analysis system. 静警 And dynamic deflection alarm value Y 动警 When the cloud platform analysis system detects that the vertical displacement data y of target 5 exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the deflection alarm value Y 静警 and Y 动警 Set according to the requirements of the bridge design documents. Generally, the static deflection alarm value is set to Y 静警 =L / 800, where L is the span of the bridge. When the cloud platform analysis system detects that the vertical displacement data y of the target (5) is ≧L / 800, the cloud platform analysis system sends an alarm reminder to the client viewing system. After receiving the alarm reminder, the monitoring personnel can view the static deflection curve and dynamic deflection curve within the alarm time period through the client viewing system, and find that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 Determine bridge risks when

[0056] When using this embodiment 1, follow the steps below:

[0057] 1) A target 5 is set on the beam 2 of the bridge to be tested, and an intelligent camera 3 is set on the pier 1 of the bridge to be tested or near the bridge. The intelligent camera 3 has a built-in automatic recognition program and a solution algorithm program, so that the intelligent camera 3 recognizes and observes the target 5 set on the beam 2;

[0058] 2) View the system through the client and set the static deflection alarm value Y in the cloud platform analysis system 静警 And dynamic deflection alarm value Y 动警 , static deflection alarm value Y 静警 And dynamic deflection alarm value Y 动警 Set according to the requirements of the bridge design documents; generally, the static deflection alarm value is set to Y 静警 =L / 800, where L is the span of the bridge;

[0059] 3) The smart camera 3 monitors the vertical displacement of the target 5 in real time and calculates the vertical displacement data y of the target 5. The smart camera 3 uploads the vertical displacement data y to the cloud platform analysis system in real time;

[0060] 4) The cloud platform analysis system includes an analysis algorithm program. When the smart camera 3 is in real-time monitoring state, the cloud platform analysis system receives the vertical displacement data y of the target 5 input by the smart camera 3 in real time, and automatically generates a real-time displacement curve of the target 5 in the vertical direction over time by real-time analysis of the vertical displacement data y. The real-time displacement curve is a dynamic and static deflection combination curve of the vertical displacement of the beam 2 where the target 5 is installed over time;

[0061] 5) The cloud platform analysis system includes a digital low-pass filter algorithm program, which enables the cloud platform analysis system to decompose the dynamic and static deflection combined curve of the vertical displacement of the beam slab 2 at the installation target 5 into a wavy static deflection curve that changes with time and a discontinuous multi-segment vertical strip dynamic deflection curve that changes with time through the program;

[0062] 6) The client viewing system can view the dynamic and static deflection combined curves, the disassembled static deflection curves and the dynamic deflection curves automatically generated by the cloud platform analysis system;

[0063] 7) When the cloud platform analysis system detects that the vertical displacement data y of target 5 exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system views the static deflection curve and dynamic deflection curve within the alarm time period, and finds that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 Determine bridge risks when necessary;

[0064] Please refer to Figures 6 to 10The second embodiment of the present application is shown in the figure. The driving direction on the beam plate 2 is defined as the Z direction, the horizontal direction perpendicular to the driving direction is defined as the X direction, and the vertical direction is defined as the Y direction.

[0065] Please refer to Figure 7 As shown, the beam 2 is equally divided into multiple monitoring grid areas within the monitoring range of the on-site monitoring system, and targets 5 are set on the corresponding monitoring grid areas of the beam 2 at a certain interval. Taking one of the targets 5 as a reference, the position data z of each target 5 in the driving direction of the beam 2 is determined, and the position data z of each target 5 in the driving direction of the beam 2 is uploaded to the cloud platform analysis system through the client viewing system. As an example, Figure 7 The figure shows that after the monitoring grid area is divided on the beam 2, multiple targets 5 are set at a certain interval with the target 5 arranged at the C position as the center. During the actual load-bearing process of the bridge, the beam 2 will hardly move in the driving direction (Z direction), so the position data z of each target 5 in the driving direction of the beam 2 can be determined in advance.

[0066] The intelligent camera 3 has a built-in automatic recognition program and a solution algorithm program.

[0067] In the initial state: the intelligent camera 3 identifies and observes a plurality of targets 5 disposed on the beam slab 2;

[0068] In the real-time monitoring state: the intelligent camera 3 monitors the two-dimensional displacement of each target 5 in the X direction and the Y direction in real time and calculates the two-dimensional displacement data x, y of each target 5, and uploads the two-dimensional displacement data x, y to the cloud platform analysis system in real time. The cloud platform analysis system includes an analysis algorithm program, which receives the two-dimensional displacement data x, y of each target 5 input by the intelligent camera 3 in real time, combines the pre-input position data z of each target 5 in the driving direction, analyzes the three-dimensional displacement data x, y, z of each target 5 in real time, and combines the three-dimensional displacement data x, y, z of each target 5 to generate the beam slab curved surface image of the beam slab 2 at each time point, and the beam slab curved surface image is used to reflect the specific state of the beam slab 2 of the bridge under the action of dynamic and static deflection at a specific time point.

[0069] As an example, Figures 8 to 10 The figure shows the targets 5 at locations A and B on the bridge beam 2 at continuous t 1、The beam-slab curved surface images at three time points t2 and t3 show the three-dimensional displacement data of the targets 5 at A and B under the action of static and dynamic deflections. However, in the actual implementation scheme, more than two targets 5 are set at different positions of the beam-slab 2. The cloud platform analysis system receives the two-dimensional displacement data x and y of each target 5 input by the smart camera 3 in real time, and combines the pre-input position data z of each target 5 in the driving direction to generate the beam-slab curved surface images of the three-dimensional displacement of multiple targets 5 at each time point in real time. The cloud platform analysis system combines the beam-slab curved surface images at each time point to form an animation that reflects the changes of the beam-slab 2 of the bridge within the time period. The client viewing system can view the beam-slab curved surface images of the bridge automatically generated by the cloud platform analysis system at each time point, and can also specify a time period to view the animation display of the beam-slab 2 of the bridge under the action of static and dynamic deflections within the time period.

[0070] In this embodiment, a horizontal displacement (X direction) alarm value X is further set in the cloud platform analysis system. 警 When the cloud platform analysis system detects that the horizontal displacement data x of a target 5 exceeds the horizontal displacement alarm value X 警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the monitoring personnel can view the animation display of the bridge beam 2 and the three-dimensional displacement data x, y, z of the target 5 on it in the selected time period through the client viewing system to determine the bridge risk and the specific location of the risk, where the horizontal displacement alarm value x 警 Set according to the provisions of the bridge design documents.

[0071] When using this second embodiment, follow the steps below:

[0072] 1) The beam slab 2 of the bridge to be tested is equally divided into a plurality of monitoring grid areas, and targets 5 are set on the corresponding monitoring grid areas of the beam slab 2 at a certain interval. Taking one of the targets 5 as a reference, the position data z of each target 5 in the driving direction of the beam slab 2 is determined, and the position data z of each target 5 in the driving direction of the beam slab 2 is uploaded to the cloud platform analysis system through the client viewing system;

[0073] An intelligent camera 3 is installed on the pier 1 of the bridge to be tested or near the bridge. The intelligent camera 3 has a built-in automatic recognition program and a solution algorithm program, so that the intelligent camera 3 can recognize and observe multiple targets 5 installed on the beam 2;

[0074] 2) View the system through the client and set the horizontal displacement alarm value X in the cloud platform analysis system 警 , horizontal displacement alarm value X 警 Set up in accordance with the provisions of the bridge design documents;

[0075] 3) The smart camera 3 monitors the two-dimensional displacement of each target 5 in the horizontal direction X and the vertical direction Y in real time and calculates the two-dimensional displacement data x, y of each target 5. The smart camera 3 uploads the two-dimensional displacement data x, y to the cloud platform analysis system in real time;

[0076] 4) The cloud platform analysis system includes an analysis algorithm program. When the smart camera 3 is in real-time monitoring state, the cloud platform analysis system receives the two-dimensional displacement data x, y of each target 5 input by the smart camera 3 in real time, combines the pre-input position data z of each target 5 in the driving direction, analyzes the three-dimensional displacement data x, y, z of each target 5 in real time, and combines the three-dimensional displacement data x, y, z of each target 5 to generate a beam slab curved surface image of the beam slab 2 at each time point. The beam slab curved surface image reflects the specific state of the bridge beam slab 2 under the action of dynamic and static deflection at a specific time point;

[0077] 5) Instructing the cloud platform analysis system to combine the beam and slab curved surface images at each time point to form an animation reflecting the changes of the beam and slab 2 of the bridge within the time period;

[0078] 6) The client viewing system can specify a time period to view the animation display of the bridge beam 2 under the action of dynamic and static deflection within the time period;

[0079] 7) When the cloud platform analysis system detects that the horizontal displacement data x of a target 5 exceeds the horizontal displacement alarm value X 警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system can view the animation display of the bridge beam 2 and the three-dimensional displacement data x, y, z of the target 5 on it within the selected time period to determine the bridge risk and the specific location of the risk.

[0080] The present invention has the following beneficial effects: the bridge monitoring system of the present invention can simultaneously monitor the dynamic and static deflections of the bridge beam slab 2 and the health status of the beam slab curved surface changes, realizes non-contact high-precision monitoring, can effectively save monitoring costs and time, and is easy to install and implement, has good safety, and the monitoring process will not affect the local bridge traffic.

[0081] Although the content of the present invention has been described in detail through the above preferred embodiments, it should be appreciated that the above description should not be considered as a limitation of the present invention. After reading the above content, it will be apparent to those skilled in the art that various modifications and substitutions of the present invention will occur. Therefore, the protection scope of the present invention should be limited by the appended claims.

Claims

1. A bridge monitoring system, characterized in that: The bridge comprises a pier (1) and a beam slab (2) erected on the pier (1); The bridge monitoring system includes an on-site monitoring system, a cloud platform analysis system and a client viewing system; The on-site monitoring system comprises a target (5) arranged on the beam (2) and an intelligent camera (3) for observing the target (5); the intelligent camera (3) has a built-in automatic recognition program and a solution algorithm program; the intelligent camera (3) recognizes and observes the target (5) arranged on the beam (2); the intelligent camera (3) monitors the vertical displacement of the target (5) in real time and solves the vertical displacement data y of the target (5), and uploads the vertical displacement data y to the cloud platform analysis system in real time; The cloud platform analysis system includes an analysis algorithm program. When the on-site monitoring system is in real-time monitoring mode, the cloud platform analysis system receives in real time the vertical displacement data y of the target (5) input by the intelligent camera (3), analyzes the vertical displacement data y in real time and automatically generates a real-time displacement curve of the target (5) in the vertical direction that changes with time. The real-time displacement curve is a combined curve of dynamic and static deflections of the vertical displacement of the beam (2) where the target (5) is installed that changes with time. The client viewing system can view the dynamic and static deflection combination curve automatically generated by the cloud platform analysis system; The static and dynamic deflection combined curve is a combination of a static deflection curve showing the static deflection of the beam and slab (2) in a wavy shape on the time axis and a dynamic deflection curve showing multiple vertical bars in a discontinuous shape on the time axis. The cloud platform analysis system includes a digital low-pass filter algorithm program, through which the static and dynamic deflection combined curve showing the vertical displacement of the beam and slab (2) at the installation target (5) can be disassembled into a static deflection curve in a wavy shape that changes with time and a dynamic deflection curve in a discontinuous shape with multiple vertical bars. The client viewing system can respectively view the static deflection curve and the dynamic deflection curve after being disassembled by the cloud platform analysis system; The cloud platform analysis system is provided with a static deflection alarm value Y 静警 And dynamic deflection alarm value Y 动警 When the cloud platform analysis system detects that the vertical displacement data y of the target (5) exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system checks the static deflection curve and dynamic deflection curve within the alarm time period and finds that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 The bridge risk is determined when the deflection alarm value Y 静警 and Y 动警 Set up in accordance with the provisions of the bridge design documents; The target (5) is arranged at the position of maximum mid-span deflection of the beam slab (2).

2. A monitoring method for a bridge monitoring system, wherein: The bridge monitoring system is constituted according to claim 1 above, characterized in that it is implemented according to the following steps: 1) A target (5) is set on the beam (2) of the bridge to be tested, and an intelligent camera (3) is set on the pier (1) of the bridge to be tested or near the bridge. The intelligent camera (3) has a built-in automatic recognition program and a solution algorithm program, so that the intelligent camera (3) can recognize and observe the target (5) set on the beam (2); 2) View the system through the client and set the static deflection alarm value Y in the cloud platform analysis system 静警 And dynamic deflection alarm value Y 动警 ; 3) enabling the intelligent camera (3) to monitor the vertical displacement of the target (5) in real time and calculate the vertical displacement data y of the target (5), and the intelligent camera (3) to upload the vertical displacement data y to the cloud platform analysis system in real time; 4) The cloud platform analysis system includes an analysis algorithm program. When the intelligent camera (3) is in a real-time monitoring state, the cloud platform analysis system receives in real time the vertical displacement data y of the target (5) input by the intelligent camera (3), and automatically generates a real-time displacement curve of the target (5) in the vertical direction over time by analyzing the vertical displacement data y in real time. The real-time displacement curve is a combined curve of dynamic and static deflections of the vertical displacement of the beam (2) where the target (5) is installed over time. 5) The cloud platform analysis system includes a digital low-pass filter algorithm program, which enables the cloud platform analysis system to decompose the dynamic and static deflection combined curve of the vertical displacement of the beam plate (2) at the installation target (5) into a wavy static deflection curve that changes with time and a discontinuous multi-segment vertical strip dynamic deflection curve that changes with time through the program; 6) The client viewing system can view the dynamic and static deflection combined curves, the disassembled static deflection curves and the dynamic deflection curves automatically generated by the cloud platform analysis system; 7) When the cloud platform analysis system detects that the vertical displacement data y of the target (5) exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 When the cloud platform analysis system sends an alarm reminder to the client viewing system, the client viewing system views the static deflection curve and dynamic deflection curve within the alarm time period, and finds that the vertical displacement data y at a certain time on the deflection curve exceeds the static deflection alarm value Y 静警 Or dynamic deflection alarm value Y 动警 Determine bridge risks when 3. The monitoring method of the bridge monitoring system according to claim 2, characterized in that: In step 2), the static deflection alarm value Y 静警 And dynamic deflection alarm value Y 动警 Set according to the provisions of the bridge design documents.

4. A monitoring method for a bridge monitoring system, wherein: The bridge comprises a column pier (1) and a beam slab (2) erected on the column pier (1), wherein the driving direction on the beam slab (2) is defined as the Z direction, the horizontal direction perpendicular to the driving direction is defined as the X direction, and the vertical direction is defined as the Y direction; The bridge monitoring system includes an on-site monitoring system, a cloud platform analysis system and a client viewing system; The monitoring method of the bridge monitoring system is implemented according to the following steps: 1) The beam (2) of the bridge to be tested is equally divided into a plurality of monitoring grid areas, targets (5) are set on the corresponding monitoring grid areas of the beam (2) at a certain interval, and a certain target (5) is used as a reference to determine the position data z of each target (5) in the driving direction of the beam (2), and the position data z of each target (5) in the driving direction of the beam (2) is uploaded to the cloud platform analysis system through the client viewing system; An intelligent camera (3) is arranged on a pier (1) of a bridge to be measured or near the bridge, wherein the intelligent camera (3) has a built-in automatic recognition program and a solution algorithm program, so that the intelligent camera (3) can recognize and observe a plurality of targets (5) arranged on a beam plate (2); 2) View the system through the client and set the horizontal displacement alarm value X in the cloud platform analysis system 警 ; 3) the intelligent camera (3) monitors the two-dimensional displacement of each target (5) in the horizontal direction X and the vertical direction Y in real time and calculates the two-dimensional displacement data x, y of each target (5), and the intelligent camera (3) uploads the two-dimensional displacement data x, y to the cloud platform analysis system in real time; 4) The cloud platform analysis system includes an analysis algorithm program. When the intelligent camera (3) is in a real-time monitoring state, the cloud platform analysis system receives the two-dimensional displacement data x, y of each target (5) input by the intelligent camera (3) in real time, combines the pre-input position data z of each target (5) in the driving direction, analyzes the three-dimensional displacement data x, y, z of each target (5) in real time, and combines the three-dimensional displacement data x, y, z of each target (5) to generate a beam slab curved surface image of the beam slab (2) at each time point. The beam slab curved surface image reflects the specific state of the bridge beam slab (2) under the action of dynamic and static deflections at a specific time point; 5) Instructing the cloud platform analysis system to combine the beam and slab surface images at each time point to form an animation reflecting the changes of the beam and slab (2) of the bridge within the time period; 6) The client viewing system can specify a time period to view the animation display of the bridge beam (2) under the action of dynamic and static deflection within the time period; 7) When the cloud platform analysis system detects that the horizontal displacement data x of a target (5) exceeds the horizontal displacement alarm value X 警 When a risk occurs, the cloud platform analysis system sends an alarm reminder to the client viewing system, and the client viewing system views the animation display of the bridge beam (2) and the three-dimensional displacement data x, y, z of the target (5) thereon within the selected time period to determine the bridge risk and the specific location of the risk.

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