CN118443246A - Bridge monitoring system and method - Google Patents
Bridge monitoring system and method Download PDFInfo
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- CN118443246A CN118443246A CN202410649250.1A CN202410649250A CN118443246A CN 118443246 A CN118443246 A CN 118443246A CN 202410649250 A CN202410649250 A CN 202410649250A CN 118443246 A CN118443246 A CN 118443246A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
- G01M5/00—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings
- G01M5/0008—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings of bridges
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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Abstract
The invention belongs to the technical field of bridge monitoring, and discloses a bridge monitoring system and a method, wherein the bridge monitoring system comprises the following steps: the dynamic load target detection module is arranged on the bridge and used for identifying a dynamic load target entering the bridge deck and acquiring image data, and simultaneously confirming the position information of the dynamic load target in the bridge in the length direction in real time; the dynamic deflection detection module is arranged in each section of box girder of the bridge and comprises a detection end arranged at a box girder support and a plurality of target targets arranged along the length direction of the box girder, and the displacement of the box girder at the position corresponding to the target targets is obtained through the detection end; and the control module is connected with the dynamic load target detection module and the dynamic deflection detection module for controlling and data collection, confirming the weight of the dynamic load target, and acquiring deflection data of all the box girders after the dynamic load target passes through the bridge for feedback through the dynamic deflection detection module. The invention uses the vehicle as the test load to realize low-cost real-time monitoring.
Description
Technical Field
The invention belongs to the technical field of bridge structure monitoring, and particularly relates to a bridge monitoring system and method.
Background
The steel box girder is also called a steel plate box girder, and is a common structural form of a large-span bridge. Is commonly used on bridges with larger spans, and is called a steel box girder because of the shape of a box. In the large span cable supporting bridge, the span of the main girder of the steel box reaches hundreds of meters and up to thousands of meters, and the main girder is generally divided into a plurality of girder sections for manufacturing and installing, and the cross section of the main girder has the characteristics of wide width and flat appearance
The steel box girder is generally formed by connecting a top plate, a bottom plate, a web plate, a diaphragm plate, a longitudinal diaphragm plate, stiffening ribs and the like in a full welding mode. Wherein the top plate is an orthotropic bridge deck plate consisting of cover plates and longitudinal stiffening ribs. The steel plate box girder is a structure commonly adopted in engineering, and is calculated by adopting a load decomposition method according to four working conditions of distortion, rigid torsion, symmetrical bending and eccentric load by applying concentrated load on the top end of a box girder web.
The box girder is used as a main body structure of the bridge, and the structure stability of the box girder and the connecting position is stable in relation to the whole bridge, so that the box girder and the connecting position of the road bridge are required to be detected regularly, parameters detected regularly each time are recorded, the establishment of a data model is convenient, and the reasons of accidents are traced back. In bridge health monitoring systems and load tests, deformation is an extremely important index, deflection is used as a description form of deformation, the bridge quality and the operation state can be evaluated, the rigidity of the bridge is reflected, and the bridge deformation is the most obvious reaction of the whole deformation of the bridge. Especially, the dynamic deflection of the bridge is the most real-time response to the rigidity of the bridge, and the bridge is the most real response under the action of the vehicle load. The impact coefficient of the vehicle load and the internal force distribution condition of the bridge structure can be obtained by carrying out numerical analysis on the dynamic deflection, so that the integrity and the degradation part of the bridge are judged; by carrying out statistical analysis on the dynamic deflection, the periodic variation rule of the bridge can be obtained, thereby providing reference for revising the design and the specification of the bridge.
Under the action of the load of the vehicle, the bridge structure generates larger deformation and stress than the bridge structure under the action of the same static load, so the dynamic response of the bridge is an important research subject in bridge engineering all the time. Dynamic deflection is related to a number of factors such as vehicle load, vehicle type, road conditions, bridge health, etc., but plays a key role in vehicle load and bridge health. The deflection of the main section of the bridge is one of important indexes for evaluating the quality (rigidity) and the running state of the bridge, the current bridge health monitoring system only monitors the static deflection of the bridge, and only analyzes the degradation and damage of the bridge from long-term monitoring data. In contrast, dynamic deflection can more accurately and directly reflect the dynamic response and dynamic stiffness of the bridge. The existing dynamic deflection detection mode needs to use specific dynamic load equipment, needs to set detection equipment for detection in specific time, is low in efficiency and high in cost, needs to seal a road for testing, and is inconvenient for daily real-time deflection monitoring on bridges which are in use, especially on some highways.
Disclosure of Invention
In order to solve the problems in the prior art, the invention provides a bridge monitoring system and a bridge monitoring method, which aim at the existing bridge which is built in use, and can automatically and regularly identify and monitor by utilizing the existing large-load running vehicle to identify and detect on the premise of not closing a road and not additionally setting a test load.
The technical scheme adopted by the invention is as follows:
In a first aspect, the present invention provides a bridge monitoring system configured to monitor dynamic load deflection on a bridge formed by a plurality of box girders, comprising:
the dynamic load target detection module is arranged on the bridge and used for identifying a dynamic load target entering the bridge deck and acquiring image data, and simultaneously confirming the position information of the dynamic load target in the bridge in the length direction in real time;
The dynamic deflection detection module is arranged in each section of box girder of the bridge and comprises a detection end arranged at a box girder support and a plurality of target targets arranged along the length direction of the box girder, and the displacement of the box girder at the position corresponding to the target targets is obtained through the detection end; and
The control module is connected with the dynamic load target detection module and the dynamic deflection detection module for controlling and data collection, confirming the weight of the dynamic load target, and acquiring deflection data of all the box girders after the dynamic load target passes through the bridge for feedback through the dynamic deflection detection module.
With reference to the first aspect, the present invention provides a first implementation manner of the first aspect, the moving load target is a vehicle passing through the bridge surface, an image recognition model is set in the control module, and the weight of all vehicles in the image data is obtained by calculating multi-frame image data sent by the moving load target detection module through the image recognition model.
With reference to the first implementation manner of the first aspect, the present invention provides a second implementation manner of the first aspect, where the dynamic load target detection module includes:
Object recognition section for acquiring images of all vehicles entering bridge, and
A position detection section for acquiring position information of a vehicle as a dynamic load target in a bridge length direction;
The object recognition part is arranged on a road at the front part of the bridge in the vehicle advancing direction, and the position detection part is arranged on the bridge.
With reference to the second implementation manner of the first aspect, the present invention provides a third implementation manner of the first aspect, where the object recognition portion is a single camera assembly disposed on a road at a front portion in a bridge entering direction.
With reference to the second implementation manner of the first aspect, the present invention provides a fourth implementation manner of the first aspect, where the object recognition portion is a plurality of camera assemblies disposed on a road in front of the bridge entering direction, the plurality of camera assemblies are disposed along an extending direction of the road in front of the bridge entering direction, a distance between the first camera assembly and the second camera assembly is greater than 120% of a length of a single box girder on the bridge, and a distance between the camera assembly at the tail part and the front end of the bridge entering direction is no greater than 10m.
With reference to the second implementation manner of the first aspect, the present invention provides a fifth implementation manner of the first aspect, where the position detecting portion includes a camera assembly and a plurality of photosensors disposed along a length direction of the bridge, the camera assembly faces a traveling direction of a moving load target entering the bridge, and the photosensors are disposed at a same position as a target provided inside the box girder.
In a second aspect, the present invention provides a monitoring method, which adopts the bridge monitoring system described in the above, and specifically includes the following steps:
Firstly, taking a box girder type bridge in use as a monitoring object, arranging a dynamic load target detection module outside the bridge, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, the multi-frame image data are sent to the control module for processing, the control module determines the size data and the vehicle type of all vehicles according to the image data, the control module determines the weight of the vehicle according to a preset weight reference value comparison table of the vehicles corresponding to the size data and the type, if the weight reference value comparison table exceeds a judging threshold value, the control module marks the vehicle as a dynamic load target, and a dynamic load monitoring program is started;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
In a third aspect, the present invention provides a monitoring method, which adopts the bridge monitoring system described in the above, and specifically includes the following steps:
Firstly, aiming at a box girder type bridge which is built in use in a closed road with a wagon balance barrier gate as a monitoring object, arranging a dynamic load target detection module outside the bridge, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, and the multi-frame image data is sent to the control module for processing, and the control module determines the size data of all vehicles and corresponding vehicle license plates according to the image data;
If the vehicle weight data meets the set threshold value, marking the vehicle as a dynamic load target, and starting a dynamic load monitoring program;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
In a fourth aspect, a monitoring method, which adopts the bridge monitoring system described in the above, specifically includes the following steps:
Firstly, taking a box girder type bridge in use as a monitoring object, arranging a dynamic load target detection module outside the bridge, wherein the dynamic load detection module comprises a head camera component and a tail camera component, taking a road pavement reference object or a set marking on a fixed focal length image as a stop line in the camera component at the tail part, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, and the multi-frame image data are sent to the control module for processing, the control module determines the size data and the vehicle type of all vehicles according to the image data, and the control module determines the weight of the vehicle according to a preset weight reference value comparison table of the vehicles corresponding to the size data and the type;
When the weight of the vehicle exceeds a threshold value in the image data shot by the shooting assembly at the head part, starting a dynamic load monitoring program, immediately marking the vehicle with the weight exceeding the threshold value as a dynamic load target, after the dynamic load monitoring program is started, continuously acquiring the image data of all the vehicles through the shooting assembly at the head part, marking the corresponding weight of the vehicle by using a vehicle license plate, and stopping marking the record until the shooting assembly at the tail part acquires the image data with the dynamic load target exceeding a cut-off line;
Starting a position detection part arranged on the bridge deck after starting a dynamic load monitoring program, feeding back position information in real time through all marked vehicles of the position detection part, and acquiring deflection data sent by a detection end in real time by a control module;
when the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, and simultaneously, the control module determines the positions of all marked vehicles on the corresponding box girders according to the position detection parts, calculates bending moments between all vehicles except the dynamic load targets and the detection ends, integrates and calculates the contribution of the marked vehicles to deflection points according to a bending moment diagram, and then overlaps with the load of the dynamic load targets to obtain total deflection at the corresponding target targets;
After a single box girder is completed, calculating the deflection of a dynamic load according to deflection data of a plurality of points, comparing the deflection with pre-stored standard data of the box girder, and alarming if the difference is larger than a set threshold value;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
With reference to any one of the second to fourth aspects, the present invention further provides an embodiment, further including a lateral load monitoring program, wherein the object recognition part is kept to continuously monitor the vehicle before entering the bridge in a time period of the dynamic load monitoring after the dynamic load monitoring program is completed, and the control module also confirms the weight of the vehicle according to the obtained image data, and if the weight exceeds a determination threshold value and the vehicle is at the outermost side of the road, the lateral load monitoring program is started, and the vehicle is marked as a lateral load target;
The dynamic deflection detection module further comprises target targets which are arranged on the same straight line perpendicular to the length direction of the box girder and are kept at the position of the box girder support and the detection ends, when a transverse load monitoring program is started, the detection ends in all the box girders are simultaneously turned to 90 degrees to face the corresponding target targets, and corresponding deflection feedback is obtained when the transverse load targets pass through the corresponding target targets.
The beneficial effects of the invention are as follows:
(1) According to the invention, the two modules are matched to detect the vehicles passing through the bridge in real time, and the control module is used for determining the approximate type and the weight range of one vehicle according to the image data analysis, so that the existing running vehicle is used as a deflection detection tool to automatically monitor the bridge in deflection, the flexibility and the efficiency are high, the traffic of the bridge is not influenced, and the monitoring effect of the bridge is realized in a low-cost mode;
(2) According to the invention, the module for monitoring the running position of the vehicle in real time is arranged on the bridge deck, and the deflection value of a fixed point can be determined by matching with the detection module arranged in the box girder, so that the difference value is determined by comparing with the standard model to judge the structural stability of the bridge, meanwhile, the detection can be automatically and efficiently finished by self-help by arranging a proper detection period, meanwhile, the data can be optimized by high-frequency detection, and the false alarm caused by single error is avoided;
(3) According to the invention, the object identification part with the length longer than that of the single box girder is arranged at the front part of the bridge in the vehicle feeding direction, so that the deflection detection precision can be further improved by acquiring the weight parameters of other vehicles after acquiring the most suitable dynamic load target;
(4) The weight determination and the type determination of the object are realized through the image monitoring algorithm by the camera shooting assembly, the reference range is determined according to the type, then the weight parameter is accurately acquired according to the volume or other related characteristics, and a reference value can be acquired for feedback under the condition of no wagon balance weighing;
(5) Aiming at a closed road such as a highway, the invention utilizes the characteristic points of large dead weight and necessary weighing of the freight vehicle, so that relatively accurate vehicle information can be obtained by simply identifying license plates after data link, the cost is further reduced, and meanwhile, the invention utilizes the characteristics of stable speed, sidewalks and relatively dispersed and uniform overall running distribution quantity of the freight vehicle aiming at the standard and standardized road such as the highway by the setting mode of an optimization method, thereby being more beneficial to the requirement of the whole system on single load test of a bridge;
(6) According to the invention, the method for testing the transverse load is increased, so that two processes of span deflection detection and transverse deflection detection are realized on the same system, more functions are integrated in a low-cost manner, and the purpose of bridge real-time monitoring is fulfilled.
Drawings
FIG. 1 is a schematic diagram of a system in an embodiment of the invention;
FIG. 2 is a schematic flow chart of a method in an embodiment of the invention;
fig. 3 is a schematic view of monitoring a system for a freight vehicle disposed on a bridge according to an embodiment of the present invention.
Detailed Description
The invention is further illustrated by the following description of specific embodiments in conjunction with the accompanying drawings.
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. The components of the embodiments of the present application generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Thus, the following detailed description of the embodiments of the application, as presented in the figures, is not intended to limit the scope of the application, as claimed, but is merely representative of selected embodiments of the application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures.
In the description of the present application, it should be noted that, if the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. indicate an azimuth or a positional relationship based on that shown in the drawings, or an azimuth or a positional relationship in which a product of the application is conventionally put in use, it is merely for convenience of describing the present application and simplifying the description, and it is not indicated or implied that the referred device or element must have a specific azimuth, be constructed and operated in a specific azimuth, and thus should not be construed as limiting the present application. Furthermore, the terms "first," "second," and the like in the description of the present application, if any, are used for distinguishing between the descriptions and not necessarily for indicating or implying a relative importance.
Furthermore, the terms "horizontal," "vertical," and the like in the description of the present application, if any, do not denote a requirement that the component be absolutely horizontal or overhang, but rather may be slightly inclined. As "horizontal" merely means that its direction is more horizontal than "vertical", and does not mean that the structure must be perfectly horizontal, but may be slightly inclined.
In the description of the present application, it should also be noted that, unless explicitly stated and limited otherwise, the terms "disposed," "mounted," "connected," and "connected" should be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
Example 1:
The embodiment discloses bridge monitoring system aims at utilizing the running vehicle of the existing bridge deck as a test tool in a low-cost mode, realizing dynamic load deflection monitoring of bridge box girders, and avoiding the problem of higher cost caused by road sealing or independent test load setting in the prior art.
Referring to fig. 1 and 2, the whole system comprises three main parts including a dynamic load target detection module and a dynamic deflection detection module for data acquisition, and a control module for connecting the two modules and performing control and data calculation.
It should be noted that, the control module can be implemented by using an existing computer or PLC module, the calculation amount of the whole device is not large, the effects of control, calculation and remote data transmission can be stably implemented by installing and debugging a preset program and a related calculation model, and the power supply of the whole system can be implemented by using the street lamp of a bridge or the power supply of a monitoring system.
Further, the dynamic load target detection module is arranged on the bridge and used for identifying the dynamic load target entering the bridge deck and acquiring image data, and simultaneously, the position information of the dynamic load target in the bridge length direction is confirmed in real time.
The dynamic deflection detection module is arranged in each section of box girder of the bridge and comprises a detection end arranged at a box girder support and a plurality of target targets arranged along the length direction of the box girder, and the displacement of the box girder at the position corresponding to the target targets is obtained through the detection end.
The control module is connected with the dynamic load target detection module and the dynamic deflection detection module for controlling and data collection, confirming the weight of the dynamic load target, and acquiring deflection data of all the box girders after the dynamic load target passes through the bridge for feedback through the dynamic deflection detection module.
The dynamic deflection detection module is arranged inside the box girder type bridge, power supply and control are additionally realized through a circuit, deflection monitoring is carried out from the inside of the box girder, the influence of external environment can be avoided, good detection precision is kept, interference is reduced, and meanwhile, the vehicle operation and equipment installation outside are not influenced by the arrangement inside. The single bridge has a plurality of case roof beams, is equidistant support structural design on conventional bridge, if to the cable-stayed bridge structure of large-span, then equidistant target and a plurality of detection end of setting up of detection scope according to the detection end, can be even uninterrupted detection to the length direction of whole bridge structure when guaranteeing to detect the amount of deflection.
Referring to fig. 2, the present embodiment further provides a monitoring method:
Firstly, arranging a dynamic load target detection module outside a bridge, arranging a dynamic deflection detection module inside a box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, keeping continuous operation of a dynamic load target detection module, keeping real-time shooting of all vehicles entering a bridge, sending the shot multi-frame image data to a control module for processing, determining the size data and the vehicle type of all the vehicles according to the image data by the control module, determining the weight of the vehicles according to a preset weight reference value comparison table of the vehicles corresponding to the size data and the type, marking the vehicles as dynamic load targets by the control module if the weight reference value comparison table exceeds a judgment threshold value, and starting a dynamic load monitoring program;
the dynamic load target detection module feeds back position information to the dynamic load target after entering the bridge in real time, and the control module acquires deflection data sent by the detection end in real time;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
when the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the dynamic load monitoring program, the monitoring of the dynamic load target is kept continuously, and if abnormal conditions do not occur in the dynamic load monitoring program, the control module controls all the equipment to be closed until the next dynamic load monitoring time period, and then the object identification part is started to repeat the process.
The dynamic load target detection module used herein mainly uses various sensors as a detection device module, and the detector has various types and is based on an imaging assembly module. A plurality of camera assemblies are additionally arranged at corresponding positions of the bridge according to requirements and used for specially completing deflection monitoring, and monitoring can be achieved through calling according to the existing electronic eye camera assemblies or related infrared sensors.
The camera shooting assembly is usually a nodding camera shooting assembly, if the camera shooting assembly is independently built, a side setting mode is generally adopted, namely image data acquisition can be carried out from one side of a road or bridge to the middle of the road or bridge, and the size of a vehicle can be well determined by acquiring the image data of the vehicle in a side form.
The other types of sensors include acoustic wave sensors, infrared sensors, radars and laser sensors, the detection modes are various, and most of the detection modes are prior art means, for example, under the premise that a camera shooting assembly can keep a fixed posture and a fixed focal length through an image or video algorithm, a certain reference object in a picture is taken as a standard, and the speed measurement and the position information determination are carried out through measuring and calculating the automobile size change in the picture; for example, a radar or an acoustic wave sensor is adopted to measure the distance or determine the position of a moving target in a fixed scene within a certain range, and since the front information such as the size data in the corresponding scene is input during debugging, the position information and the size information of the moving target can be calculated by detecting the data.
Further, in this embodiment, the deflection monitoring is performed for bridges on highways or other closed roads with wagon balance gates. It should be noted that the road is usually a highway or a national road or a provincial road with high standards, has clearer lane planning and better road conditions, and is also provided with a large number of monitoring camera assemblies or other related detection devices, especially the head and tail parts of the bridge are additionally provided with camera assemblies to acquire data. For the road characteristics, vehicles running on the road can generally keep the same lane to pass at a constant speed, and more freight vehicles on the road are distributed uniformly in time, so that the condition that 7 seats and small vehicles below 7 seats are concentrated on holidays is not similar, and the freight vehicles are in a full-load state and can easily meet the detection requirement.
In particular, the system and method are optimized for such roads and bridges.
The dynamic load target detection module includes: an object recognition section for acquiring images of all vehicles entering the bridge, and a position detection section for acquiring position information of the vehicle as a dynamic load target in the bridge length direction; the object recognition part is arranged on the road at the front part of the bridge in the vehicle-entering direction, and the position detection part is arranged on the bridge.
The object recognition part is a single camera shooting component arranged on a road in front of the bridge head, the camera shooting component shoots all directions of coming vehicles entering one side of the bridge in a fixed-focus mode, and meanwhile, the camera shooting component has a night vision function and light supplementing equipment, and can recognize vehicles at night.
The position detection part adopts a combination mode of a camera shooting assembly and a position sensor, the camera shooting assembly is provided with a plurality of camera shooting assemblies, the camera shooting assembly is arranged according to the span of a bridge and is used for acquiring vehicle information and vehicle speed of entering and exiting the bridge, the position sensor is a trigger type sensor arranged at a fixed point, a photoelectric sensor or a radar and ultrasonic sensor is generally adopted, and the position sensor is arranged at the fixed point of the bridge and is used for judging whether a running vehicle passes through the fixed point.
The detection end is an electronic level or total station, and the target is a staff structure with scales. The target targets are arranged at equal intervals, the target targets in the coverage area of a single detection end are arranged along the length direction of the box girder, but are not positioned on the same length straight line, the detection end can horizontally rotate in a leveling state, and when the moving load target moves from the corresponding position of one target to the corresponding position of the next target, the detection end automatically rotates by a corresponding angle according to program setting and captures the position change of the corresponding target.
It should be noted that, deflection detection is a prior art means, that is, a level gauge or a total station is utilized to have higher detection precision, and other detection modes, that is, a communicating pipe method, a PSD laser method or a displacement sensor, can be adopted at the same time, so that the detection of the dynamic deflection of the box girder and the data feedback to the control module can be realized.
The specific monitoring method comprises the following steps:
Firstly, checking equipment for a bridge and a road in front of the bridge, determining equipment which can be used on the road and the bridge, setting a camera assembly in front of a lane entering the bridge, setting a plurality of camera assemblies and displacement sensors on the bridge to acquire corresponding data, setting a control module at a corresponding position of the bridge, communicating a data link of the whole road, and acquiring vehicle data at a road gate by the control module.
Then, only the image data of a plurality of frames of all vehicles entering the bridge are held by the image pickup assembly serving as the object recognition part and sent to the control module for processing, and the control module determines the size data of all vehicles and corresponding vehicle license plates according to the image data;
If the vehicle weight data meets the set threshold value, marking the vehicle as a dynamic load target, and starting a dynamic load monitoring program;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
Further, the object recognition part and the method are optimized for most box girder bridges without a wagon balance barrier, and meanwhile, in order to realize more accurate detection of weight parameters affecting deflection tests.
The object recognition part is a plurality of camera assemblies arranged on the road at the front part of the bridge advancing direction, the camera assemblies are arranged along the extending direction of the road at the front part of the bridge advancing direction, the distance between the head camera assembly and the tail camera assembly is larger than 120% of the length of a single box girder on the bridge, and the distance between the camera assemblies at the tail part and the front end part of the bridge advancing direction is not larger than 10m.
The control module is internally preset with an image recognition model, namely, the image recognition model is used for carrying out machine learning training on a corresponding road or other roads with wagon balance detection, so that the external feature detection recognition of all types of vehicles is improved. The image data obtained by the camera module is used for identifying the appearance characteristics, and the three main categories are that of small vehicles with 7 seats and below, passenger vehicles with 7 seats and above and freight vehicles. Wherein only the freight vehicle is used as a dynamic load target, and other vehicles only perform identification confirmation of the type and the weight. The model is loaded in the control module through a pre-trained image recognition model, so that a recognition effect with certain precision can be provided, namely, the type and weight parameters of each vehicle can be determined through external morphological characteristics.
In the case of freight vehicles, there are also classified into two-axle vehicles, three-axle vehicles, four-axle vehicles, and the like. Generally, four-axle vehicles and above are used as type conditions, and then judgment is carried out according to the sizes and the corresponding loading conditions. After determining the type of vehicle belonging to the dynamic load target object, it is determined whether the vehicle is an empty vehicle, and the judgment is made by detecting the deformation condition of the container part and the tire. Finally, the weight range is determined by the form when the loading state is confirmed.
The specific method comprises the following steps:
Only the object recognition part is kept for processing the multi-frame image data of all vehicles entering the bridge and sending the multi-frame image data to the control module, and the control module determines the size data of all vehicles and corresponding vehicle license plates according to the image data;
If the vehicle weight data meets the set threshold value, marking the vehicle as a dynamic load target, and starting a dynamic load monitoring program;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
In the method, all vehicles passing through one box girder can be marked and determined firstly through a plurality of prepositioned camera assemblies, and the marking modes comprise marking by taking a vehicle license plate as a mark or directly identifying the characteristics and then determining the type of the vehicle. And once the vehicles meeting the dynamic load targets appear, recording all vehicle information when the vehicles pass through the head camera assembly and the tail camera assembly, and recording the weight of each vehicle and then entering the deflection calculation comparison of the bridge.
Further, the monitoring method in this embodiment further includes a lateral load monitoring program, in a time period of monitoring the dynamic load after completing the dynamic load monitoring program, keeping the object recognition portion to continuously monitor the vehicle before entering the bridge, and also determining, by the control module, a weight of the vehicle according to the acquired image data, and if the weight exceeds the determination threshold and the vehicle is at an outermost side of the road, starting the lateral load monitoring program, and marking the vehicle as a lateral load target;
The dynamic deflection detection module further comprises target targets which are arranged on the same straight line perpendicular to the length direction of the box girder and are kept at the box girder support and the detection ends, when a transverse load monitoring program is started, the detection ends in all the box girders are simultaneously turned to 90 degrees to face the corresponding target targets, and corresponding deflection feedback is obtained when the transverse load targets pass through the corresponding target targets.
The invention is not limited to the alternative embodiments described above, but any person may derive other various forms of products in the light of the present invention. The above detailed description should not be construed as limiting the scope of the invention, which is defined in the claims and the description may be used to interpret the claims.
Claims (10)
1. The utility model provides a bridge monitoring system sets up and carries out dynamic load deflection monitoring on the bridge that is formed by a plurality of case roof beam combinations, its characterized in that: comprising the following steps:
the dynamic load target detection module is arranged on the bridge and used for identifying a dynamic load target entering the bridge deck and acquiring image data, and simultaneously confirming the position information of the dynamic load target in the bridge in the length direction in real time;
The dynamic deflection detection module is arranged in each section of box girder of the bridge and comprises a detection end arranged at a box girder support and a plurality of target targets arranged along the length direction of the box girder, and the displacement of the box girder at the position corresponding to the target targets is obtained through the detection end; and
The control module is connected with the dynamic load target detection module and the dynamic deflection detection module for controlling and data collection, confirming the weight of the dynamic load target, and acquiring deflection data of all the box girders after the dynamic load target passes through the bridge for feedback through the dynamic deflection detection module.
2. A bridge monitoring system according to claim 1, wherein: the dynamic load target is a vehicle passing through the surface of the bridge, an image recognition model is arranged in the control module, and the weight of all vehicles in the image data is obtained by calculating multi-frame image data sent by the dynamic load target detection module through the image recognition model.
3. A bridge monitoring system according to claim 2, wherein: the dynamic load target detection module comprises:
Object recognition section for acquiring images of all vehicles entering bridge, and
A position detection section for acquiring position information of a vehicle as a dynamic load target in a bridge length direction;
The object recognition part is arranged on a road at the front part of the bridge in the vehicle advancing direction, and the position detection part is arranged on the bridge.
4. A bridge monitoring system according to claim 3, wherein: the object recognition part is a single camera assembly arranged on a road at the front part of the bridge in the vehicle advancing direction.
5. A bridge monitoring system according to claim 3, wherein: the object recognition part is a plurality of camera assemblies arranged on the road at the front part of the bridge advancing direction, the camera assemblies are arranged along the extending direction of the road at the front part of the bridge advancing direction, the distance between the head camera assembly and the tail camera assembly is larger than 120% of the length of a single box girder on the bridge, and the distance between the camera assemblies at the tail part and the front end part of the bridge advancing direction is not larger than 10m.
6. A bridge monitoring system according to claim 3, wherein: the position detection part comprises a camera shooting assembly and a plurality of photoelectric sensors arranged along the length direction of the bridge, the camera shooting assembly faces to the advancing direction of a dynamic load target entering the bridge, and the photoelectric sensors are arranged at the same position as the target in the box girder.
7. A method of monitoring, characterized by: a bridge monitoring system as claimed in claim 3, comprising the following steps:
Firstly, taking a box girder type bridge in use as a monitoring object, arranging a dynamic load target detection module outside the bridge, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, the multi-frame image data are sent to the control module for processing, the control module determines the size data and the vehicle type of all vehicles according to the image data, the control module determines the weight of the vehicle according to a preset weight reference value comparison table of the vehicles corresponding to the size data and the type, if the weight reference value comparison table exceeds a judging threshold value, the control module marks the vehicle as a dynamic load target, and a dynamic load monitoring program is started;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
8. A method of monitoring, characterized by: the bridge monitoring system as claimed in claim 4 comprises the following specific steps:
Firstly, aiming at a box girder type bridge which is built in use in a closed road with a wagon balance barrier gate as a monitoring object, arranging a dynamic load target detection module outside the bridge, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, and the multi-frame image data is sent to the control module for processing, and the control module determines the size data of all vehicles and corresponding vehicle license plates according to the image data;
If the vehicle weight data meets the set threshold value, marking the vehicle as a dynamic load target, and starting a dynamic load monitoring program;
Starting a position detection part arranged on a bridge deck immediately after starting a dynamic load monitoring program to feed back position information to a dynamic load target after entering a bridge in real time, and acquiring deflection data sent by a detection end in real time by a control module;
When the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, calculates dynamic load deflection according to deflection data of a plurality of points after a single box girder is completed, compares the dynamic load deflection with pre-stored standard data of the box girder, and alarms if the difference is larger than a set threshold;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
9. A method of monitoring, characterized by: the bridge monitoring system as claimed in claim 5 comprises the following specific steps:
Firstly, taking a box girder type bridge in use as a monitoring object, arranging a dynamic load target detection module outside the bridge, wherein the dynamic load detection module comprises a head camera component and a tail camera component, taking a road pavement reference object or a set marking on a fixed focal length image as a stop line in the camera component at the tail part, arranging a dynamic deflection detection module inside the box girder, connecting with a control module, debugging, and monitoring after setting a dynamic load monitoring time period;
Then, only the object recognition part is kept for the multi-frame image data of all vehicles entering the bridge, and the multi-frame image data are sent to the control module for processing, the control module determines the size data and the vehicle type of all vehicles according to the image data, and the control module determines the weight of the vehicle according to a preset weight reference value comparison table of the vehicles corresponding to the size data and the type;
When the weight of the vehicle exceeds a threshold value in the image data shot by the shooting assembly at the head part, starting a dynamic load monitoring program, immediately marking the vehicle with the weight exceeding the threshold value as a dynamic load target, after the dynamic load monitoring program is started, continuously acquiring the image data of all the vehicles through the shooting assembly at the head part, marking the corresponding weight of the vehicle by using a vehicle license plate, and stopping marking the record until the shooting assembly at the tail part acquires the image data with the dynamic load target exceeding a cut-off line;
Starting a position detection part arranged on the bridge deck after starting a dynamic load monitoring program, feeding back position information in real time through all marked vehicles of the position detection part, and acquiring deflection data sent by a detection end in real time by a control module;
when the dynamic load targets move to bridge deck positions corresponding to the target targets, the control module records the deflection data, and simultaneously, the control module determines the positions of all marked vehicles on the corresponding box girders according to the position detection parts, calculates bending moments between all vehicles except the dynamic load targets and the detection ends, integrates and calculates the contribution of the marked vehicles to deflection points according to a bending moment diagram, and then overlaps with the load of the dynamic load targets to obtain total deflection at the corresponding target targets;
After a single box girder is completed, calculating the deflection of a dynamic load according to deflection data of a plurality of points, comparing the deflection with pre-stored standard data of the box girder, and alarming if the difference is larger than a set threshold value;
When the load target is separated from the bridge deck, the whole dynamic load monitoring program is completed, if abnormal conditions exceeding a set threshold value occur in the secondary dynamic load monitoring program, the object identification part is kept to monitor the dynamic load target continuously, and if abnormal conditions do not occur in the secondary dynamic load monitoring program, the control module controls all the equipment to be closed to the next dynamic load monitoring time period, and then the object identification part is opened to repeat the process.
10. A method of monitoring according to any one of claims 7 to 9, wherein: the control module is used for determining the weight of the vehicle according to the acquired image data, starting the transverse load monitoring program if the weight exceeds a judging threshold value and the vehicle is at the outermost side of a road, and marking the vehicle as a transverse load target;
The dynamic deflection detection module further comprises target targets which are arranged on the same straight line perpendicular to the length direction of the box girder and are kept at the position of the box girder support and the detection ends, when a transverse load monitoring program is started, the detection ends in all the box girders are simultaneously turned to 90 degrees to face the corresponding target targets, and corresponding deflection feedback is obtained when the transverse load targets pass through the corresponding target targets.
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| CN202410649250.1A CN118443246A (en) | 2024-05-24 | 2024-05-24 | Bridge monitoring system and method |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118549069A (en) * | 2024-07-30 | 2024-08-27 | 四川蜀工公路工程试验检测有限公司 | Bridge monitoring system, method, readable storage medium and device |
| CN118816743A (en) * | 2024-09-19 | 2024-10-22 | 四川交通职业技术学院 | A method and device for detecting deflection of large-span composite beams for high-speed bridges |
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- 2024-05-24 CN CN202410649250.1A patent/CN118443246A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN118549069A (en) * | 2024-07-30 | 2024-08-27 | 四川蜀工公路工程试验检测有限公司 | Bridge monitoring system, method, readable storage medium and device |
| CN118549069B (en) * | 2024-07-30 | 2024-10-01 | 四川蜀工公路工程试验检测有限公司 | Bridge monitoring method, readable storage medium and device |
| CN118816743A (en) * | 2024-09-19 | 2024-10-22 | 四川交通职业技术学院 | A method and device for detecting deflection of large-span composite beams for high-speed bridges |
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