CN112284657A - Bridge monitoring system and monitoring method - Google Patents

Bridge monitoring system and monitoring method Download PDF

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Publication number
CN112284657A
CN112284657A CN202011108941.9A CN202011108941A CN112284657A CN 112284657 A CN112284657 A CN 112284657A CN 202011108941 A CN202011108941 A CN 202011108941A CN 112284657 A CN112284657 A CN 112284657A
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bridge
cloud platform
dynamic
time
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徐辉
宋爽
姚鸿梁
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Shanghai Tonghe Engineering Technology Co ltd
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Shanghai Tonghe Engineering Technology Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0008Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings of bridges
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01MTESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M5/00Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
    • G01M5/0041Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress
    • G01M5/005Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress by means of external apparatus, e.g. test benches or portable test systems

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  • Aviation & Aerospace Engineering (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Bridges Or Land Bridges (AREA)

Abstract

The invention discloses a bridge monitoring system, wherein a bridge comprises a column pier and a beam plate; the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client checking system; the field monitoring system comprises a target arranged on a beam plate and an intelligent camera for observing the target, an automatic identification program and a resolving algorithm program are arranged in the intelligent camera, the intelligent camera identifies and observes the target, monitors the vertical displacement of the target, resolves the vertical displacement data y of the target and uploads the vertical displacement data y to the cloud platform analysis system; the cloud platform analysis system comprises an analysis algorithm program, and under the real-time monitoring state of the on-site monitoring system, the cloud platform analysis system receives vertical displacement data y of a target input by the intelligent camera in real time and automatically generates a displacement real-time curve of the target along with time change in the vertical direction, namely a dynamic and static deflection combined curve of the vertical displacement of a beam plate at the position where the target is installed along with time change; the client viewing system can view the dynamic and static deflection combination curve automatically generated by the cloud platform analysis system.

Description

Bridge monitoring system and monitoring method
Technical Field
The invention relates to the technical field of bridge monitoring, in particular to a bridge monitoring system and a bridge monitoring method based on machine vision.
Background
After the bridge is put into use, the bridge inevitably bears driving power load, overload, impact and the like besides various natural loads, and the change of the mechanical or structural performance of the bridge is necessarily caused, the internal change is expressed on the surface of the bridge in a dynamic and static deflection mode, and long-term structural safety monitoring is required for solving the safety condition of the bridge, so that accidents such as bridge collapse are prevented.
The traditional bridge monitoring method is characterized in that an accelerometer, a strain test element, a dial indicator and a dial indicator are used for monitoring or manual detection, the modes can only detect single-point physical quantity of a structure, and the defects of low efficiency, low speed, poor repeatability, high environmental limitation and the like exist; the bridge safety detection is carried out by using a bridge detection vehicle, the application range is small, for example, when large and long bridges such as bridges across rivers, canyons and viaducts with higher positions are detected, a detection support cannot be erected under the bridge to monitor the main beam, the support and the abutment; the deflection detection of the bridge is carried out by utilizing the level gauge, when the deflection detection of a large bridge, particularly a large-span bridge is carried out, the level gauges are required to be erected on a plurality of observation positions in sequence and connected by using water pipes, the installation and the arrangement are complicated, and due to the influence of the dynamic change of the bridge, the observation point where the level gauge is positioned is also in the dynamic change, the water flow in the water pipe is slowly balanced, the horizontal visual axis of the level gauge is always in the change, and the measurement precision cannot be ensured; the deflection monitoring precision based on the differential GNSS is low and can only reach centimeter level generally, and the differential GNSS can not meet the use requirement for high-precision deflection detection of medium and small bridges generally; based on the deflection monitoring of the automatic total station, the automatic total station is expensive, the monitoring speed is slow when the long bridge is monitored, and the automatic total station belongs to a precision instrument and is not easy to protect in outdoor monitoring.
Therefore, it is necessary to provide a bridge monitoring system and a monitoring method, which can simply, effectively and feasibly perform automatic real-time monitoring on the deflection monitoring item of the bridge so as to ensure the structural safety of the bridge.
Disclosure of Invention
In order to improve the prior art, the invention provides a bridge monitoring system and a monitoring method, the system can simultaneously measure the dynamic and static deflection of the bridge plate and the curved surface change of the bridge plate, the monitoring precision is high, the monitoring cost and time can be effectively saved, the installation and implementation are convenient, the safety is good, and the monitoring process can not influence the traffic of the local bridge deck.
The invention realizes technical improvement through the following technical scheme: a bridge monitoring system comprises a pier and a beam slab erected on the pier; the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client checking system; the field monitoring system comprises a target arranged on a beam plate and an intelligent camera for observing the target, an automatic identification program and a resolving algorithm program are arranged in the intelligent camera, the intelligent camera identifies and observes the target arranged on the beam plate, monitors the vertical displacement of the target in real time, resolves 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 comprises an analysis algorithm program, under the real-time monitoring state of the on-site monitoring system, the cloud platform analysis system receives vertical displacement data y of a target input by the intelligent camera in real time, analyzes the vertical displacement data y in real time and automatically generates a displacement real-time curve of the target changing along with time in the vertical direction, and the displacement real-time curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate at the position where the target is installed changing along with time; the client viewing system can view the dynamic and static deflection combined curve automatically generated by the cloud platform analysis system.
Further, the dynamic and static deflection combined curve is a combination of a static deflection curve showing the static deflection of the beam plate in a wavy manner on a time axis and a dynamic deflection curve of a plurality of sections of vertical bars in a discontinuous manner on the time axis, the cloud platform analysis system comprises a digital low-pass filter algorithm program, the dynamic and static deflection combined curve of the vertical displacement of the beam plate at the installation target along with the change of time can be disassembled into a static deflection curve in a wavy manner along with the change of time and a dynamic deflection curve of a plurality of sections of vertical bars in a discontinuous manner along with the change of time through the program, and the static deflection curve and the dynamic deflection curve after the cloud platform analysis system is disassembled can be respectively inspected through the client side inspection system.
Further, a static deflection alarm value Y is arranged in the cloud platform analysis systemStatic policeAnd dynamic deflection alarm value YDynamic policeWhen the cloud platform analysis system monitors that the vertical displacement data y of the target exceeds the static stateDeflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeWhen the system is used, the cloud platform analysis system sends an alarm prompt to the client checking system, the client checking system checks a static deflection curve and a dynamic deflection curve in an alarm time period, and the fact that vertical displacement data Y at a certain time on the deflection curve exceeds a static deflection alarm value Y is foundStatic policeOr dynamic deflection alarm value YDynamic policeDetermining the bridge risk, wherein the deflection alarm value YStatic policeAnd YDynamic policeAnd setting according to the specification of the bridge design file.
Further, the target is arranged at the position where mid-span deflection of the beam plate is the largest.
The invention also provides a bridge monitoring method, which is implemented by using the bridge monitoring system and comprises the following steps:
1) arranging a target on a beam plate of a bridge to be measured, arranging an intelligent camera on a column pier of the bridge to be measured or near the bridge, and internally arranging an automatic identification program and a resolving algorithm program in the intelligent camera so that the intelligent camera identifies and observes the target arranged on the beam plate;
2) setting a static deflection alarm value Y in a cloud platform analysis system through a client viewing systemStatic policeAnd dynamic deflection alarm value YDynamic police
3) Enabling the intelligent camera to monitor the vertical displacement of the target in real time and solve the vertical displacement data y of the target, and uploading the vertical displacement data y to a cloud platform analysis system by the intelligent camera in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, and under the real-time monitoring state of the intelligent camera, the cloud platform analysis system is enabled to receive vertical displacement data y of a target input by the intelligent camera in real time, the vertical displacement data y is analyzed in real time, and a real-time displacement curve of the target along with time change in the vertical direction is automatically generated by analyzing the vertical displacement data y in real time, wherein the real-time displacement curve is a dynamic and static deflection combined curve of a beam plate at the position where the target is installed along with time change in the vertical direction;
5) the cloud platform analysis system comprises a digital low-pass filtering algorithm program, and the cloud platform analysis system is enabled to disassemble a dynamic and static deflection combined curve of the vertical displacement of the beam plate at the installation target along with the change of time into a wavy static deflection curve along with the change of time and a dynamic deflection curve of a plurality of discontinuous vertical bars along with the change of time through the program;
6) the client checking system can respectively check a dynamic and static deflection combination curve, a disassembled static deflection curve and a disassembled dynamic deflection curve which are automatically generated by the cloud platform analysis system;
7) when the cloud platform analysis system monitors that the vertical displacement data Y of the target exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeWhen the system is used, the cloud platform analysis system sends an alarm prompt to the client checking system, the client checking system checks a static deflection curve and a dynamic deflection curve in an alarm time period, and the fact that vertical displacement data Y at a certain time on the deflection curve exceeds a static deflection alarm value Y is foundStatic policeOr dynamic deflection alarm value YDynamic policeDetermining bridge risk;
further, in the step 2), the static deflection alarm value YStatic policeAnd dynamic deflection alarm value YDynamic policeAnd setting according to the specification of the bridge design file.
The invention also realizes technical improvement through the following technical scheme II: a bridge monitoring system comprises a column pier and a beam plate erected on the column pier, wherein the travelling direction on the beam plate is defined as Z direction, the horizontal direction perpendicular to the travelling direction is defined as X direction, and the vertical direction is defined as Y direction; the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client checking system; the beam slab is equally divided into a plurality of monitoring grid areas in the monitoring range of an on-site monitoring system, the on-site monitoring system comprises targets arranged on the corresponding monitoring grid areas of the beam slab at certain intervals and intelligent cameras for observing the targets, position data z of each target in the beam slab driving direction is determined by taking one target as a reference, and the position data z of each target in the beam slab driving direction is uploaded to a cloud platform analysis system through a client viewing system; the intelligent camera is internally provided with an automatic identification program and a resolving algorithm program, identifies and observes a plurality of targets arranged on a beam plate, monitors two-dimensional displacement of each target in the X direction and the Y direction in real time, resolves two-dimensional displacement data X and Y of each target, and uploads the two-dimensional displacement data X and Y to a cloud platform analysis system in real time; the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the on-site monitoring system, the cloud platform analysis system receives two-dimensional displacement data x and y of each target input by the intelligent camera in real time, combines the position data z of each target input in the driving direction, analyzes the three-dimensional displacement data x, y and z of each target in real time, and combines the three-dimensional displacement data x, y and z of each target to generate a beam plate curved surface image of a beam plate at each time point, wherein the beam plate curved surface image is used for reflecting the specific state of the beam plate of the bridge under the action of dynamic and static deflection at a specific time point; the client viewing system can view the beam slab curved surface images of the bridge at all time points, which are automatically generated by the cloud platform analysis system.
Furthermore, the cloud platform analysis system combines the beam slab curved surface images at each time point to form an animation which reflects the beam slab change of the bridge in a time period, and the client viewing system can view the animation display of the beam slab of the bridge in the time period under the action of dynamic and static deflection in a specified time period.
Furthermore, a horizontal displacement alarm value X is arranged in the cloud platform analysis systemPoliceWhen the cloud platform analysis system monitors that the horizontal displacement data X of a certain target exceeds the horizontal displacement alarm value XPoliceAnd then, the cloud platform analysis system sends an alarm prompt to the client viewing system, the client viewing system views the animation display of the bridge beam slab and the three-dimensional displacement data X, y and z of the target on the bridge beam slab in a selected time period to determine the bridge risk and the specific risk position, wherein the horizontal displacement alarm value X isPoliceAnd setting according to the specification of the bridge design file.
The invention also provides a bridge monitoring method, which is implemented by using the bridge monitoring system and comprises the following steps:
1) the method comprises the steps that a beam plate of a bridge to be detected is equally divided into a plurality of monitoring grid areas, targets are arranged on the corresponding monitoring grid areas of the beam plate at certain intervals, position data z of each target in the beam plate driving direction are determined by taking one target as a reference, and the position data z of each target in the beam plate driving direction are uploaded to a cloud platform analysis system through a client viewing system;
arranging an intelligent camera on a pier of the bridge to be detected or near the bridge, and internally arranging an automatic identification program and a resolving algorithm program in the intelligent camera so that the intelligent camera identifies and observes a plurality of targets arranged on a beam plate;
2) setting a horizontal displacement alarm value X in a cloud platform analysis system through a client viewing systemPolice
3) Enabling an intelligent camera to monitor the two-dimensional displacement of each target in the horizontal direction X and the vertical direction Y in real time and solve the two-dimensional displacement data X and Y of each target, and uploading the two-dimensional displacement data X and Y to a cloud platform analysis system by the intelligent camera in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the intelligent camera, the cloud platform analysis system is enabled to receive the two-dimensional displacement data x and y of each target input by the intelligent camera in real time, the three-dimensional displacement data x, y and z of each target are analyzed in real time by combining the position data z of each target input in the driving direction in advance, the three-dimensional displacement data x, y and z of each target are combined to generate a beam plate curved surface image of a beam plate at each time point, and the beam plate curved surface image reflects the specific state of the beam plate of the bridge under the action of dynamic and static deflection at the specific time point;
5) enabling the cloud platform analysis system to combine the beam-slab curved surface images at each time point to form an animation which reflects the beam-slab change of the bridge in a time period;
6) the client viewing system can be used for viewing the animation display of the beam plate of the bridge in the appointed time period under the action of dynamic and static deflection;
7) when the cloud platform analysis system monitors that the horizontal displacement data X of a certain target exceeds the horizontal displacement alarm value XPoliceIn the process, the cloud platform analysis system sends an alarm prompt to the client viewing system, and the client viewing system views the animation display of the bridge beam slab and the three-dimensional displacement data x, y and z of the target on the bridge beam slab in a selected time period to determine the bridge riskAnd the specific location of the risk.
The invention has the following beneficial effects: the bridge monitoring system can simultaneously monitor the dynamic and static deflection of the bridge beam plates and the health condition of the change of the curved surfaces of the beam plates, realizes non-contact high-precision monitoring, can effectively save monitoring cost and time, is convenient and quick to install and implement, has good safety, and cannot influence local bridge deck traffic in the monitoring process.
Drawings
FIG. 1 is a schematic diagram of the structure of the bridge monitoring system of the present invention;
FIG. 2 is a schematic view of an on-site monitoring system of a bridge monitoring system according to a first embodiment of the present invention;
FIG. 3 is a schematic view of a combined dynamic and static deflection curve of a certain position of a beam plate, which is monitored by the bridge monitoring system in the embodiment of FIG. 2, along with time;
FIG. 4 is a schematic view of a static deflection curve of a position of a beam plate monitored by the bridge monitoring system according to the embodiment of FIG. 2 over time;
FIG. 5 is a schematic view of a dynamic deflection curve of a certain position of a beam plate monitored by the bridge monitoring system in the embodiment of FIG. 2 along with time;
FIG. 6 is a schematic view of an on-site monitoring system of a bridge monitoring system according to a second embodiment of the present invention;
FIG. 7 is a schematic view of the beam-slab lattice layout targets of the embodiment of FIG. 6;
FIG. 8 is a view illustrating the whole beam and slab monitored by the bridge monitoring system in the embodiment of FIG. 6 at t1A state diagram of a point in time;
FIG. 9 is a view illustrating the whole beam and slab monitored by the bridge monitoring system in the embodiment of FIG. 6 at t2A state diagram of a point in time;
FIG. 10 is a view illustrating the whole beam-slab monitored by the bridge monitoring system in the embodiment of FIG. 6 at t3A state diagram of a point in time;
in the figure: 1. pillar piers; 2. a beam plate; 3. a smart camera; 4. a ball seat; 5. a target; 6. a solar power supply module; 7. an electronic control system.
Detailed Description
The invention is further illustrated by the following embodiments with reference to fig. 1 to 10.
Referring to fig. 1 to 2, a first embodiment of the invention provides a bridge monitoring system for monitoring dynamic and static deflection of a bridge. The bridge comprises a column pier 1 and a beam plate 2 erected on the column pier 1. The driving direction on the beam plate 2 is defined as the Z direction, and the horizontal direction perpendicular to the driving direction is the X direction and the vertical direction is the Y direction.
Referring to fig. 1, the bridge monitoring system includes a field monitoring system, a cloud platform analysis system, and a client viewing system;
referring to fig. 2, 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.
The target 5 can be arranged at any position of the range to be measured of the beam plate 2. In order to monitor the dynamic and static deflection of the beam plate 2, in the first embodiment of the present application, the target 5 is disposed at the maximum mid-span deflection position (central position) of the beam plate 2.
The intelligent camera 3 is arranged on the column pier 1 or near the bridge, so that the intelligent camera 3 can observe the whole bridge and the target 5 on the bridge. When setting up smart camera 3 on pier 1, accessible ball seat 4 installation smart camera 3 satisfies smart camera 3's illumination sight demand with rotating through 4 angles of ball seat.
The solar power supply module 6 is connected with the electric control system 7 and then installed on the pier 1, is configured with the intelligent camera 3 in a set, is connected with the intelligent camera 3 through a cable, supplies power for the intelligent camera 3, transmits image information acquired by the intelligent camera 3 and a resolving data result to the cloud platform analysis system through a network, provides a remote client viewing system connected with the network for looking up, and performs information interaction with the electric control system 7 through the network.
The target 5 may be integrally provided with an illumination device to provide illumination for night monitoring of the smart camera 3.
The intelligent camera 3 is internally provided with an automatic identification program and a resolving algorithm program.
In the initial state: the intelligent camera 3 identifies and observes a target 5 arranged on the beam plate 2;
under the real-time monitoring state: the intelligent camera 3 monitors the vertical displacement of the target 5 in real time, 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 comprises 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 displacement real-time curve of the target 5 along with time change in the vertical direction, and the displacement real-time curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate 2 where the target 5 is installed along with time change.
Referring to fig. 3 to 5, the dynamic and static deflection combination curve is a combination of a static deflection curve showing the static deflection of the beam panel 2 in a wavy manner on the time axis and a dynamic deflection curve showing a plurality of vertical bars in a discontinuous manner on the time axis. The cloud platform analysis system comprises a digital low-pass filtering algorithm program, and a dynamic and static deflection combined curve of the vertical displacement of the beam plate 2 at the installation target 5 along with the change of time can be disassembled into a wavy static deflection curve along with the change of time and a discontinuous dynamic deflection curve of a plurality of sections of vertical bars along with the change of time. And monitoring personnel can respectively check the dynamic and static deflection combination curve, the disassembled static deflection curve and the dynamic deflection curve which are automatically generated by the cloud platform analysis system through the client checking system.
In this embodiment, a static deflection alarm value Y is further set in the cloud platform analysis systemStatic policeAnd dynamic deflection alarm value YDynamic policeWhen the cloud platform analysis system monitors that the vertical displacement data Y of the target 5 exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeIn time, the cloud platform analysis system sends an alarm prompt to the client checking system, and the deflection alarm value YStatic policeAnd YDynamic policeAnd setting according to the specification of the bridge design file. Generally, the static deflection alarm value is set as YStatic policeWhen the cloud platform analysis system monitors that the vertical displacement data y of the target (5) is not less than L/800, the cloud platform analysis system sends an alarm prompt to the client viewing system. Monitor forAfter the measuring personnel receive the alarm prompt, the static deflection curve and the dynamic deflection curve in the alarm time period can be checked through the client checking system, and the fact that the vertical displacement data Y at a certain time on the deflection curve exceeds the static deflection alarm value Y is foundStatic policeOr dynamic deflection alarm value YDynamic policeDetermining bridge risk.
When the method is used, the method is implemented according to the following steps:
1) arranging a target 5 on a beam plate 2 of a bridge to be measured, arranging an intelligent camera 3 on a pier 1 of the bridge to be measured or near the bridge, and internally arranging an automatic identification program and a resolving algorithm program in the intelligent camera 3 to enable the intelligent camera 3 to identify and observe the target 5 arranged on the beam plate 2;
2) setting a static deflection alarm value Y in a cloud platform analysis system through a client viewing systemStatic policeAnd dynamic deflection alarm value YDynamic policeAlarm value Y of static deflectionStatic policeAnd dynamic deflection alarm value YDynamic policeSetting according to the specification of the bridge design file; generally, the static deflection alarm value is set as YStatic policeL/800, where L is the span of the bridge;
3) enabling the intelligent camera 3 to monitor the vertical displacement of the target 5 in real time and solve the vertical displacement data y of the target 5, and enabling the intelligent camera 3 to upload the vertical displacement data y to a cloud platform analysis system in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, and under the real-time monitoring state of the intelligent camera 3, the cloud platform analysis system is enabled to receive vertical displacement data y of the target 5 input by the intelligent camera 3 in real time, the vertical displacement data y is analyzed in real time, and a real-time displacement curve of the target 5 along with time change in the vertical direction is automatically generated, wherein the real-time displacement curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate 2 at the position where the target 5 is installed along with time change;
5) the cloud platform analysis system comprises a digital low-pass filtering algorithm program, and the cloud platform analysis system is enabled to disassemble a dynamic and static deflection combined curve of the vertical displacement of the beam plate 2 at the installation target 5 along with time into a wavy static deflection curve along with time and a dynamic deflection curve of a plurality of discontinuous vertical bars along with time through the program;
6) the client checking system can respectively check a dynamic and static deflection combination curve, a disassembled static deflection curve and a disassembled dynamic deflection curve which are automatically generated by the cloud platform analysis system;
7) when the cloud platform analysis system monitors that the vertical displacement data Y of the target 5 exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeWhen the system is used, the cloud platform analysis system sends an alarm prompt to the client checking system, the client checking system checks a static deflection curve and a dynamic deflection curve in an alarm time period, and the fact that vertical displacement data Y at a certain time on the deflection curve exceeds a static deflection alarm value Y is foundStatic policeOr dynamic deflection alarm value YDynamic policeDetermining bridge risk;
fig. 6 to 10 are schematic diagrams illustrating a second embodiment of the present application. The driving direction on the beam plate 2 is defined as the Z direction, and the horizontal direction perpendicular to the driving direction is the X direction and the vertical direction is the Y direction.
Referring to fig. 7, the beam slab 2 is equally divided into a plurality of monitoring grid areas within the monitoring range of the on-site monitoring system, and targets 5 are disposed on the corresponding monitoring grid areas of the beam slab 2 at a certain interval. And determining the position data z of each target 5 in the driving direction of the beam plate 2 by taking one target 5 as a reference, and uploading the position data z of each target 5 in the driving direction of the beam plate 2 to a cloud platform analysis system through a client viewing system. As an example, fig. 7 shows that after the monitoring grid area division is performed on the beam plate 2, a plurality of targets 5 are disposed at a certain interval distance with the target 5 arranged at the C position as the center. In the actual bearing process of the bridge, the beam plate 2 hardly moves in the traveling direction (Z direction), so that the position data Z of each target 5 in the traveling direction of the beam plate 2 can be predetermined.
The intelligent camera 3 is internally provided with an automatic identification program and a resolving algorithm program.
In the initial state: the intelligent camera 3 identifies and observes a plurality of targets 5 arranged on the beam plate 2;
under 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, calculates the two-dimensional displacement data X and Y of each target 5, and uploads the two-dimensional displacement data X and Y to the cloud platform analysis system in real time. The cloud platform analysis system comprises an analysis algorithm program, the cloud platform analysis system receives the two-dimensional displacement data x and y of each target 5 input by the intelligent camera 3 in real time, the three-dimensional displacement data x, y and z of each target 5 are analyzed in real time by combining the position data z of each target 5 in the driving direction, the three-dimensional displacement data x, y and z of each target 5 are combined to generate a beam plate curved surface image of the beam plate 2 at each time point, and the beam plate curved surface image is used for reflecting the specific state of the beam plate 2 of the bridge under the action of dynamic and static deflection at a specific time point.
As an example, fig. 8-10 show targets 5 at A, B on bridge beam slab 2 at consecutive t1、t2And t3And (3) three-dimensional displacement data of the target 5 at A, B under the action of dynamic and static deflection are displayed in the beam-slab curved surface images at the three time points. However, in an actual implementation, more than two targets 5 are arranged at different positions of the beam plate 2, and the cloud platform analysis system receives two-dimensional displacement data x and y of each target 5 input by the smart camera 3 in real time, and generates a beam plate curved surface image displayed by three-dimensional displacement of the targets 5 at each time point in real time by combining with position data z of each target 5 in the driving direction, which is input in advance. The cloud platform analysis system combines the beam-slab curved surface images at each time point to form animation which reflects the change of the beam slab 2 of the bridge in a time period. The client viewing system can view the beam slab curved surface images of the beam slab 2 of the bridge at each time point, which are automatically generated by the cloud platform analysis system, and can also view animation display of the beam slab 2 of the bridge in the time period under the action of dynamic and static deflection in the appointed time period.
In this embodiment, a horizontal displacement (X direction) alarm value X is further set in the cloud platform analysis systemPoliceWhen the cloud platform analysis system monitors that the horizontal displacement data X of a certain target 5 exceeds the horizontal displacement alarm value XPoliceIn the process, the cloud platform analysis system sends an alarm prompt to the client viewing system, and after monitoring personnel receive the alarm prompt, the client viewing system can view the bridge beam slab 2 in a selected time periodDetermining bridge risks and specific risks positions by animation display and three-dimensional displacement data X, y and z of targets 5 on the animation display, wherein the alarm value X of horizontal displacementPoliceAnd setting according to the specification of the bridge design file.
When the second embodiment is used, the following steps are performed:
1) the method comprises the steps of equally dividing a beam plate 2 of a bridge to be measured into a plurality of monitoring grid areas, arranging targets 5 on the corresponding monitoring grid areas of the beam plate 2 at certain intervals, determining position data z of each target 5 in the driving direction of the beam plate 2 by taking one target 5 as a reference, and uploading the position data z of each target 5 in the driving direction of the beam plate 2 to a cloud platform analysis system through a client viewing system;
arranging an intelligent camera 3 on a pier 1 of a bridge to be detected or near the bridge, and arranging an automatic identification program and a resolving algorithm program in the intelligent camera 3 to enable the intelligent camera 3 to identify and observe a plurality of targets 5 arranged on a beam plate 2;
2) setting a horizontal displacement alarm value X in a cloud platform analysis system through a client viewing systemPoliceHorizontal displacement alarm value XPoliceSetting according to the specification of the bridge design file;
3) enabling the intelligent camera 3 to monitor the two-dimensional displacement of each target 5 in the horizontal direction X and the vertical direction Y in real time and solve the two-dimensional displacement data X and Y of each target 5, and uploading the two-dimensional displacement data X and Y to the cloud platform analysis system by the intelligent camera 3 in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the intelligent camera 3, the cloud platform analysis system is enabled to receive the two-dimensional displacement data x and y of each target 5 input by the intelligent camera 3 in real time, the three-dimensional displacement data x, y and z of each target 5 are analyzed in real time by combining the position data z of each target 5 in the driving direction input in advance, the three-dimensional displacement data x, y and z of each target 5 are combined to generate a beam plate curved surface image of the beam plate 2 at each time point, and the beam plate curved surface image reflects the specific state of the beam plate 2 of the bridge under the action of dynamic and static deflection at the specific time point;
5) combining the beam-slab curved surface images at each time point by the cloud platform analysis system to form an animation which reflects the change of the beam slab 2 of the bridge in a time period;
6) the client viewing system can be used for viewing the animation display of the beam plate 2 of the bridge in the appointed time period under the action of dynamic and static deflection;
7) when the cloud platform analysis system monitors that the horizontal displacement data X of a certain target 5 exceeds the horizontal displacement alarm value XPoliceAnd then, the cloud platform analysis system sends an alarm prompt to the client viewing system, and the client viewing system views the animation display of the bridge beam slab 2 and the three-dimensional displacement data x, y and z of the target 5 on the bridge beam slab in a selected time period to determine the bridge risk and the specific risk position.
The invention has the following beneficial effects: the bridge monitoring system can simultaneously monitor the dynamic and static deflection of the bridge beam plates 2 and the health condition of the change of the curved surfaces of the beam plates, realizes non-contact high-precision monitoring, can effectively save monitoring cost and time, is convenient and quick to install and implement, has good safety, and cannot influence local bridge deck traffic in the monitoring process.
While the present invention has been described in detail with reference to the preferred embodiments, it should be understood that the above description should not be taken as limiting the invention. Various modifications and alterations to this invention will become apparent to those skilled in the art upon reading the foregoing description. Accordingly, the scope of the invention should be determined from the following claims.

Claims (10)

1. A bridge monitoring system, its characterized in that:
the bridge comprises a column pier (1) and a beam plate (2) erected on the column pier (1);
the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client checking system;
the on-site monitoring system comprises a target (5) arranged on a beam plate (2) and an intelligent camera (3) for observing the target (5), an automatic identification program and a resolving algorithm program are arranged in the intelligent camera (3), the target (5) arranged on the beam plate (2) is identified and observed by the intelligent camera (3), the intelligent camera (3) monitors the vertical displacement of the target (5) in real time, resolves the vertical displacement data y of the target (5), and uploads the vertical displacement data y to a cloud platform analysis system in real time;
the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the on-site monitoring system, the cloud platform analysis system receives vertical displacement data y of a target (5) input by the intelligent camera (3) in real time, analyzes the vertical displacement data y in real time and automatically generates a displacement real-time curve of the target (5) along with time change in the vertical direction, and the displacement real-time curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate (2) at the position where the target (5) is installed along with time change;
the client viewing system can view the dynamic and static deflection combined curve automatically generated by the cloud platform analysis system.
2. The bridge monitoring system of claim 1, wherein: the dynamic and static deflection combined curve is a combination of a static deflection curve which displays the static deflection of the beam plate (2) in a wavy manner on a time axis and a dynamic deflection curve of a plurality of sections of vertical bars which are discontinuous on the time axis, the cloud platform analysis system comprises a digital low-pass filter algorithm program, the dynamic and static deflection combined curve of the vertical displacement of the beam plate (2) at the position where the target (5) is installed, which changes along with time, can be disassembled into a static deflection curve which changes along with time in a wavy manner and a dynamic deflection curve which changes along with time in a plurality of sections of vertical bars in a discontinuous manner, and the client viewing system can respectively view the static deflection curve and the dynamic deflection curve after the cloud platform analysis system is disassembled.
3. The bridge monitoring system of claim 1, wherein: a static deflection alarm value Y is arranged in the cloud platform analysis systemStatic policeAnd dynamic deflection alarm value YDynamic policeWhen the cloud platform analysis system monitors that the vertical displacement data Y of the target (5) exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeThe cloud platform analysis system sends an alarm prompt to the client checking system, the client checking system checks the static deflection curve and the dynamic deflection curve in the alarm time period, and the deflection is foundThe vertical displacement data Y at a certain time on the curve exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeDetermining the bridge risk, wherein the deflection alarm value YStatic policeAnd YDynamic policeAnd setting according to the specification of the bridge design file.
4. The bridge monitoring system of claim 1, wherein: the target (5) is arranged at the position where the midspan deflection of the beam plate (2) is the largest.
5. A method of monitoring a bridge monitoring system, wherein the bridge monitoring system is configured according to any one of claims 1 to 4, characterized in that: the method comprises the following steps:
1) arranging a target (5) on a beam plate (2) of a bridge to be measured, arranging an intelligent camera (3) on a pier (1) of the bridge to be measured or near the bridge, and internally arranging an automatic identification program and a calculation algorithm program in the intelligent camera (3) to enable the intelligent camera (3) to identify and observe the target (5) arranged on the beam plate (2);
2) setting a static deflection alarm value Y in a cloud platform analysis system through a client viewing systemStatic policeAnd dynamic deflection alarm value YDynamic police
3) Enabling the intelligent camera (3) to monitor the vertical displacement of the target (5) in real time and solve the vertical displacement data y of the target (5), and uploading the vertical displacement data y to a cloud platform analysis system by the intelligent camera (3) in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, and under the real-time monitoring state of the intelligent camera (3), the cloud platform analysis system is enabled to receive vertical displacement data y of the target (5) input by the intelligent camera (3) in real time, the vertical displacement data y is analyzed in real time, and a real-time displacement curve of the target (5) along with time change in the vertical direction is automatically generated, wherein the real-time displacement curve is a dynamic and static deflection combined curve of the vertical displacement of the beam plate (2) at the position where the target (5) is installed along with time change;
5) the cloud platform analysis system comprises a digital low-pass filtering algorithm program, and the cloud platform analysis system is enabled to disassemble a dynamic and static deflection combined curve of the vertical displacement of the beam plate (2) at the position where the target (5) is installed, which changes along with time, into a wavy static deflection curve which changes along with time and a dynamic deflection curve of a plurality of discontinuous vertical bars which changes along with time;
6) the client checking system can respectively check a dynamic and static deflection combination curve, a disassembled static deflection curve and a disassembled dynamic deflection curve which are automatically generated by the cloud platform analysis system;
7) when the cloud platform analysis system monitors that the vertical displacement data Y of the target (5) exceeds the static deflection alarm value YStatic policeOr dynamic deflection alarm value YDynamic policeWhen the system is used, the cloud platform analysis system sends an alarm prompt to the client checking system, the client checking system checks a static deflection curve and a dynamic deflection curve in an alarm time period, and the fact that vertical displacement data Y at a certain time on the deflection curve exceeds a static deflection alarm value Y is foundStatic policeOr dynamic deflection alarm value YDynamic policeDetermining bridge risk.
6. The monitoring method of the bridge monitoring system according to claim 5, wherein: in step 2), the static deflection alarm value YStatic policeAnd dynamic deflection alarm value YDynamic policeAnd setting according to the specification of the bridge design file.
7. A bridge monitoring system, its characterized in that:
the bridge comprises a column pier (1) and a beam plate (2) erected on the column pier (1), the traveling direction on the beam plate (2) is defined as Z direction, and the horizontal direction perpendicular to the traveling direction is defined as X direction and the vertical direction is defined as Y direction;
the bridge monitoring system comprises an on-site monitoring system, a cloud platform analysis system and a client checking system;
the beam slab (2) is equally divided into a plurality of monitoring grid areas in the monitoring range of an on-site monitoring system, the on-site monitoring system comprises targets (5) which are arranged on the corresponding monitoring grid areas of the beam slab (2) at certain intervals and an intelligent camera (3) for observing the targets (5), position data z of the targets (5) in the driving direction of the beam slab (2) is determined by taking one target (5) as a reference, and the position data z of the targets (5) in the driving direction of the beam slab (2) are uploaded to a cloud platform analysis system through a client viewing system;
the intelligent camera (3) is internally provided with an automatic identification program and a resolving algorithm program, the intelligent camera (3) identifies and observes a plurality of targets (5) arranged on the beam slab (2), the intelligent camera (3) monitors two-dimensional displacement of each target (5) in the X direction and the Y direction in real time, resolves two-dimensional displacement data X and Y of each target (5), and uploads the two-dimensional displacement data X and Y to the cloud platform analysis system in real time;
the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the on-site monitoring system, the cloud platform analysis system receives two-dimensional displacement data x and y of each target (5) input by the intelligent camera (3) in real time, combines the position data z of each target (5) input in advance in the driving direction, analyzes the three-dimensional displacement data x, y and z of each target (5) in real time and combines the three-dimensional displacement data x, y and z of each target (5) to generate a beam plate curved surface image of the beam plate (2) at each time point, and the beam plate curved surface image is used for reflecting the specific state of the beam plate (2) of the bridge under the action of dynamic and static deflection at specific time points;
the client viewing system can view the beam-slab curved surface images of the beam slab (2) of the bridge at all time points, which are automatically generated by the cloud platform analysis system.
8. The bridge monitoring system of claim 7, wherein: the cloud platform analysis system combines the beam-slab curved-surface images at each time point to form animation which reflects changes of the beam slab (2) of the bridge in a time period, and the client viewing system can view animation display of the beam slab (2) of the bridge in the time period under the action of dynamic and static deflection in a specified time period.
9. The bridge monitoring system of claim 8, wherein: a horizontal displacement alarm value X is arranged in the cloud platform analysis systemPoliceWhen the cloud platform analysis system monitors that the horizontal displacement data X of a certain target (5) exceeds the horizontal displacement alarm value XPoliceIn time, the cloud platform analysis system sends an alarm prompt to the client viewing system, and the alarm prompt is sent to the client viewing system through the clientThe client viewing system views the animation display of the bridge beam plate (2) in a selected time period and the three-dimensional displacement data X, y and z of the target (5) on the animation display to determine the bridge risk and the specific risk position, wherein the horizontal displacement alarm value X is used for giving an alarmPoliceAnd setting according to the specification of the bridge design file.
10. A monitoring method of a bridge monitoring system, wherein the bridge monitoring system is constituted as claimed in any one of the above claims 7 to 9, characterized in that: the method comprises the following steps:
1) the method comprises the steps that a beam plate (2) of a bridge to be measured is equally divided into a plurality of monitoring grid areas, targets (5) are arranged on the corresponding monitoring grid areas of the beam plate (2) at certain intervals, position data z of each target (5) in the driving direction of the beam plate (2) is determined by taking one target (5) as a reference, and the position data z of each target (5) in the driving direction of the beam plate (2) are uploaded to a cloud platform analysis system through a client viewing system;
arranging an intelligent camera (3) on a pier (1) of a bridge to be measured or near the bridge, and arranging an automatic identification program and a resolving algorithm program in the intelligent camera (3) to enable the intelligent camera (3) to identify and observe a plurality of targets (5) arranged on a beam plate (2);
2) setting a horizontal displacement alarm value X in a cloud platform analysis system through a client viewing systemPolice
3) Enabling the intelligent camera (3) to monitor the two-dimensional displacement of each target (5) in the horizontal direction X and the vertical direction Y in real time and solve the two-dimensional displacement data X and Y of each target (5), and uploading the two-dimensional displacement data X and Y to the cloud platform analysis system by the intelligent camera (3) in real time;
4) the cloud platform analysis system comprises an analysis algorithm program, under the real-time monitoring state of the intelligent camera (3), the cloud platform analysis system is enabled to receive two-dimensional displacement data x and y of each target (5) input by the intelligent camera (3) in real time, the three-dimensional displacement data x, y and z of each target (5) are analyzed in real time by combining position data z of each target (5) input in advance in the driving direction, the three-dimensional displacement data x, y and z of each target (5) are combined to generate a beam plate curved surface image of the beam plate (2) at each time point, and the beam plate curved surface image reflects the specific state of the beam plate (2) of the bridge under the action of dynamic and static deflection at specific time points;
5) enabling the cloud platform analysis system to combine the beam-slab curved surface images at all time points to form animation which reflects the change of the beam slab (2) of the bridge in a time period;
6) the client viewing system can be used for viewing the animation display of the beam plate (2) of the bridge in the appointed time period under the action of dynamic and static deflection;
7) when the cloud platform analysis system monitors that the horizontal displacement data X of a certain target (5) exceeds the horizontal displacement alarm value XPoliceAnd then, the cloud platform analysis system sends an alarm prompt to the client viewing system, and the client viewing system views the animation display of the bridge beam plate (2) and the three-dimensional displacement data x, y and z of the target (5) on the bridge beam plate in a selected time period to determine the bridge risk and the specific risk position.
CN202011108941.9A 2020-10-16 2020-10-16 Bridge monitoring system and monitoring method Pending CN112284657A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113108700A (en) * 2021-04-28 2021-07-13 上海同禾工程科技股份有限公司 Displacement checking system and displacement checking method based on machine vision
CN113188463A (en) * 2021-05-25 2021-07-30 上海同禾工程科技股份有限公司 System and method for monitoring deformation of dam body of tailing pond
CN114136562A (en) * 2021-10-14 2022-03-04 福建省特种设备检验研究院 Device and method for monitoring girder deflection based on binocular vision

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113108700A (en) * 2021-04-28 2021-07-13 上海同禾工程科技股份有限公司 Displacement checking system and displacement checking method based on machine vision
CN113188463A (en) * 2021-05-25 2021-07-30 上海同禾工程科技股份有限公司 System and method for monitoring deformation of dam body of tailing pond
CN114136562A (en) * 2021-10-14 2022-03-04 福建省特种设备检验研究院 Device and method for monitoring girder deflection based on binocular vision
CN114136562B (en) * 2021-10-14 2023-12-08 福建省特种设备检验研究院 Binocular vision-based main beam deflection monitoring device and monitoring method thereof

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