CN109992827A - Bridge structure method for early warning, device, computer equipment and storage medium - Google Patents
Bridge structure method for early warning, device, computer equipment and storage medium Download PDFInfo
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Abstract
This application involves a kind of bridge structure method for early warning, device, computer equipment and storage mediums.The described method includes: the weight information and vehicles identifications of vehicle of the acquisition in driving status；The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；When the response data of the bridge is more than given threshold, the vehicle is obtained in the location information of bridge by the vehicles identifications, and issue warning information；Wherein, the response data includes at least one of rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value.Early warning can be carried out to bridge structure in real time using this method.
Description
Technical field
This application involves fields of communication technology, more particularly to a kind of bridge structure method for early warning, device, computer equipment
And storage medium.
Background technique
Bridge refers generally to be erected in rivers,lakes and seas, the structures for making traffic etc. that can smoothly pass through, modern to adapt to
The transportation industry of high speed development, bridge be also extended to across mountain stream, unfavorable geology or meet other traffic need and set up make
Current more convenient and fast building.Bridge is generally made of superstructure, substructure, support and attached structure, top knot
Structure is also known as bridge span structure, is across the primary structure of obstacle；Substructure includes abutment, bridge pier and basis；Support is spanning knot
The load transfer device of the bearing place setting of structure and bridge pier or abutment；Attached structure then refer to transition slab at bridge head, truncated cone banking, shore protection,
Training works etc..Due to the importance of bridge, the real-time of bridge structure is assessed to guarantee current safety, when judgement will
When the vehicles through Crossing the bridge noodles exceed the tolerance range of bridge, need to carry out early warning to bridge structure.
Currently, common bridge structure method for early warning based on theoretical method be that certainty method for early warning, gray system are pre-
Alarm method, neural network method for early warning and time series method for early warning etc..Existing bridge structure method for early warning being capable of basis
Early warning is carried out to the part-structure of bridge, in the passage for carrying out needing to limit bridge deck traffic tool when relevant parameter acquisition, therefore,
Following problem exists in the prior art: real-time early warning can not be carried out to by the vehicles of bridge.
Summary of the invention
Based on this, it is necessary in view of the above technical problems, provide a kind of bridge that can carry out early warning to bridge structure in real time
Girder construction method for early warning, device, computer equipment and storage medium.
A kind of bridge structure method for early warning, which comprises
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in bridge by the vehicles identifications
Location information, and issue warning information；
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
In one of the embodiments, the method also includes:
In the bridge floor of the bridge, multiple measuring points are set；
Detection is applied to the stress of the measuring point, and is responded according to the bridge structure that the stress generates；
It is responded according to the stress and the bridge structure, establishes the bridge load cross direction profiles mould of the bridge structure
Type；
Wherein, the stress is obtained by weighing to the overloaded vehicle for acting on the measuring point, the bridge structure response
Sensor measurement by being laid in the measuring point obtains, and the response is wide including Suo Li, amount of deflection, strain, acceleration, crack
Degree, inclination angle.
The measuring point is the region that bridge structure is easy to happen damage in one of the embodiments,.
It is described in one of the embodiments, to detect the stress for being applied to the measuring point, and generated according to the stress
Bridge structure response, comprising:
The driving trace of the vehicle is detected according to vehicles identifications；
Judge whether the vehicle reaches the measuring point by the driving trace；
When the vehicle reaches the measuring point, detection is applied to the stress of the measuring point and according to stress generation
Bridge structure response.
The vehicle is overloaded vehicle in one of the embodiments,.
The vehicles identifications include that license board information, vehicle model information and contour of the vehicle are special in one of the embodiments,
At least one of sign.
In one of the embodiments, the method also includes:
The threedimensional model of the bridge structure is imported in finite element model, corresponding measuring point in Xiang Suoshu finite element model
Apply stress and the initial parameter of the finite element model is set, obtains the simulated response generated according to the stress；
Judge whether the absolute value of the difference between the simulated response and bridge structure response is less than setting error；
If it is less than setting error, then using the initial parameter as the final argument of the finite element model；
If the initial parameter is adjusted, until the simulated response and the bridge structure not less than setting error
Difference between response is less than setting error.
A kind of bridge structure prior-warning device, described device include:
Acquisition module, for acquiring the weight information and vehicles identifications of the vehicle；
Response data computing module is obtained for the weight information of the vehicle to be inputted bridge load transverse distribution model
To the response data of the bridge；
Alarm module, for issuing warning information, the alarm when the response data of the bridge is more than given threshold
Information includes the vehicles identifications, and the response data includes rope force value, deflection value, strain value, acceleration value, fracture width
At least one of value, inclination value.
A kind of computer equipment, including memory and processor, the memory are stored with computer program, the processing
Device performs the steps of when executing the computer program
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in bridge by the vehicles identifications
Location information, and issue warning information；
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
A kind of computer readable storage medium, is stored thereon with computer program, and the computer program is held by processor
It is performed the steps of when row
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in bridge by the vehicles identifications
Location information, and issue warning information；
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
Above-mentioned bridge structure method for early warning, device, computer equipment and storage medium, by the vehicle for acquiring driving status
Weight information and vehicles identifications, the weight information of vehicle is inputted into bridge load transverse distribution model, to judge the weight of vehicle
Amount whether be more than bridge structure tolerance range, when exceed bridge structure tolerance range when, simultaneously to overloaded vehicle Process Tracking
Overload warning information is issued, Bridge Structural Damage can be prevented in real time to the carry out early warning of overload or detect bridge knot
It being capable of on-call maintenance after structure damage.
Detailed description of the invention
Fig. 1 is the flow diagram of one embodiment Bridge structure warning method；
The flow diagram for the step of Fig. 2 is one embodiment Bridge load transverse distribution model foundation；
Fig. 3 is the structural block diagram of one embodiment Bridge structure warning device；
Fig. 4 is the internal structure chart of computer equipment in one embodiment.
Specific embodiment
It is with reference to the accompanying drawings and embodiments, right in order to which the objects, technical solutions and advantages of the application are more clearly understood
The application is further elaborated.It should be appreciated that specific embodiment described herein is only used to explain the application, not
For limiting the application.
In one embodiment, as shown in Figure 1, providing a kind of bridge structure method for early warning, comprising the following steps:
S110, the weight information and vehicles identifications of vehicle of the acquisition in driving status.
Wherein, in the vehicle of driving status, specially vehicle is not required to when carrying out weight information and vehicles identifications acquire
Slow down, stop or change other driving status.The vehicles identifications include outside license board information, vehicle model information and vehicle
At least one of shape feature.The present embodiment emphasis carries out early warning to overloaded vehicle, and certain common vehicle is also applied for the present embodiment
Technical solution.
Specifically, obtaining the weight information of vehicle by dynamic weighing equipment, vehicles identifications are acquired by camera.In vehicle
Enter bridge structure before acquire in driving status vehicle weight information and vehicles identifications.
The weight information of the vehicle is inputted bridge load transverse distribution model, obtains the response of the bridge by S120
Data.
Wherein, bridge load cross direction profiles model is used to indicate to act on stress and the response of bridge structure of bridge structure
Between relationship.Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination angle
At least one of value.
S130 obtains the vehicle by the vehicles identifications when the response data of the bridge is more than given threshold
In the location information of bridge, and issue warning information.
Wherein, the weight that given threshold can bear according to bridge structure can join according to Bridge Design structure
Number is calculated, or is obtained by apparatus measures.Warning information is issued according to the vehicle, therefore, can be to the vehicle
Issue warning information, to prevent the vehicle from entering bridge structure, and warning information is uploaded into background system, can be right
Overloaded vehicle into bridge structure is recorded.
The present embodiment obtains vehicle in the location information of bridge by vehicles identifications, and being able to detect overloaded vehicle have passed through bridge
The detection of damage field easily occurs for which position of beam, especially bridge structure, if overloaded vehicle, which have passed through, easily occurs damage zone
Domain, then system needs to record these regions, in order to on-call maintenance.
In above-mentioned bridge structure method for early warning, the weight information and vehicles identifications of the vehicle by acquiring driving status will
The weight information of vehicle inputs bridge load transverse distribution model, with judge vehicle weight whether be more than bridge structure receiving
Range to overloaded vehicle Process Tracking and issues overload warning information when exceeding the tolerance range of bridge structure, can be real-time
Carry out early warning to overload, prevents Bridge Structural Damage or being capable of on-call maintenance after detecting Bridge Structural Damage.
In one of the embodiments, as shown in Fig. 2, a kind of bridge structure method for early warning further comprises the steps of:
Multiple measuring points are arranged in the bridge floor of the bridge in S111.
Wherein, the measuring point is used to test the multi-modes response of bridge structure, to obtain bridge load cross direction profiles mould
Type.The measuring point is set at the crucial section of bridge structure, i.e. the bridge structure region that easily sends damage.
S112, detection is applied to the stress of the measuring point, and is responded according to the bridge structure that the stress generates.
Wherein, the stress for being applied to the measuring point can be by applying, specifically, passing through dynamic in the current vehicle of bridge floor
Weighing-appliance obtains the weight information of vehicle in advance, then the position of vehicle is obtained by multiple cameras, described in vehicle process
When measuring point, detection is responded according to the bridge structure that the stress generates, and the stress is the gravity that the weight of vehicle generates.
S113 is responded according to the stress and the bridge structure, and the bridge load for establishing the bridge structure laterally divides
Cloth model.
Wherein, by multiple groups stress and response, by way of linear fit or solving equations, stress and response are obtained
Between functional relation, and establish according to functional relation the bridge load cross direction profiles model of the bridge structure.
Wherein, the stress is obtained by weighing to the overloaded vehicle for acting on the measuring point, the bridge structure response
Sensor measurement by being laid in the measuring point obtains, and the response is wide including Suo Li, amount of deflection, strain, acceleration, crack
Degree, inclination angle.
The foundation of the present embodiment Bridge load transverse distribution model does not need the passage of limitation bridge deck traffic tool, and
And the stress for being applied to the measuring point is just able to detect by the vehicle through Crossing the bridge noodles, additional measuring tool is not needed, is only needed
Camera to be installed in abutment, be laid with sensor in crucial section, the ess-strain of bridge structure can be measured in real time,
To establish the bridge load cross direction profiles model of bridge structure.
It is described in one of the embodiments, to detect the stress for being applied to the measuring point, and generated according to the stress
Bridge structure response, comprising:
S1121 detects the driving trace of the vehicle according to vehicles identifications.
Wherein, driving trace is the track that vehicle presses through bridge floor.Vehicles identifications can acquire the figure of vehicle according to camera
As obtaining, multiple cameras are installed in abutment, the information of vehicles of captured in real-time bridge floor according to relay algorithm, and combines vehicle mark
Know the driving trace for being capable of forming same vehicle.
S1122 judges whether the vehicle reaches the measuring point by the driving trace.
Wherein, the measuring point is in the position of bridge floor it is known that getting the driving trace of vehicle according to camera.When traveling rail
When mark passes through the measuring point, it can judge that vehicle has arrived at the measuring point.
S1123, when the vehicle reaches the measuring point, detection is applied to the stress of the measuring point and according to the stress
The bridge structure of generation responds.
Wherein, the bridge structure response is obtained by being laid in the sensor measurement of the measuring point.
A kind of bridge structure method for early warning further comprises the steps of: in one of the embodiments,
S114 imports the threedimensional model of the bridge structure in finite element model, corresponding in Xiang Suoshu finite element model
Measuring point apply stress and the initial parameter of the finite element model be set, obtain the simulated response generated according to the stress.
Wherein, the model established when finite element model is with finite element method, be one group at node connection,
By node power transmission, the controlled assembly at node, it is mechanical model discretization as a result, being one for numerical value meter
The digital model of calculation.
Wherein, the threedimensional model of bridge structure includes the volume and density of bridge structure, and volume and density can pass through
Existing apparatus measures obtain.It is the current vehicle of bridge floor to bridge knot that into the finite element model, corresponding measuring point, which applies stress,
The stress that measuring point is applied is corresponded to described in structure.
S115, judges whether the absolute value of the difference between the simulated response and bridge structure response is less than setting
Error.
Wherein, the simulated response is the response being calculated by finite element model, and the bridge structure response passes through
The sensor detection for being installed on bridge floor measuring point obtains.
S116, if it is less than setting error, then using the initial parameter as the final argument of the finite element model.
S117, if the initial parameter is adjusted, until the simulated response and the bridge not less than setting error
Difference between structural response is less than setting error.
The method through this embodiment can establish the finite element model of the bridge structure in background system, so as to
The subsequent analysis that ess-strain is carried out to the bridge structure.
It should be understood that although each step in the flow chart of Fig. 1-2 is successively shown according to the instruction of arrow,
These steps are not that the inevitable sequence according to arrow instruction successively executes.Unless expressly stating otherwise herein, these steps
Execution there is no stringent sequences to limit, these steps can execute in other order.Moreover, at least one in Fig. 1-2
Part steps may include that perhaps these sub-steps of multiple stages or stage are not necessarily in synchronization to multiple sub-steps
Completion is executed, but can be executed at different times, the execution sequence in these sub-steps or stage is also not necessarily successively
It carries out, but can be at least part of the sub-step or stage of other steps or other steps in turn or alternately
It executes.
In one embodiment, as shown in figure 3, providing a kind of bridge structure prior-warning device, comprising: acquisition module 210,
Response data computing module 220 and alarm module 230, in which:
Acquisition module 210, for acquiring the weight information and vehicles identifications that are in the vehicle of driving status.
Wherein, the vehicles identifications include at least one of license board information, vehicle model information and contour of the vehicle feature.
Response data computing module 220, for the weight information of the vehicle to be inputted bridge load transverse distribution model,
Obtain the response data of the bridge.
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
Alarm module 230, for being obtained by the vehicles identifications when the response data of the bridge is more than given threshold
It takes the vehicle in the location information of bridge, and issues warning information.
Wherein, warning information is issued according to the vehicle, therefore, warning information can be issued to the vehicle, with resistance
Only the vehicle enters bridge structure, and warning information is uploaded to background system, can be to the overload into bridge structure
Vehicle is recorded.
A kind of bridge structure prior-warning device in one of the embodiments, further includes: bridge load cross direction profiles model is built
Formwork erection block, for establishing bridge load cross direction profiles model.
Wherein, the bridge load cross direction profiles model building module includes: measuring point setting unit, in the bridge
Bridge floor multiple measuring points are set；Stress and response detection unit, are applied to the stress of the measuring point and according to described for detecting
The bridge structure response that stress generates；Model foundation unit establishes institute for responding according to the stress and the bridge structure
State the bridge load cross direction profiles model of bridge structure.
The stress and response detection unit include: driving trace detection sub-unit in one of the embodiments, are used for
The driving trace of the vehicle is detected according to vehicles identifications；Judgment sub-unit, for judging the vehicle by the driving trace
Whether reach the measuring point；Stress and response detection sub-unit, for when the vehicle reaches the measuring point, detection to apply
It is responded in the stress of the measuring point and according to the bridge structure that the stress generates.
A kind of bridge structure prior-warning device in one of the embodiments, further includes: simulated response module is used for institute
The threedimensional model for stating bridge structure imports in finite element model, and corresponding measuring point applies stress and sets in Xiang Suoshu finite element model
The initial parameter of the finite element model is set, the simulated response generated according to the stress is obtained；Judgment module, for judging
Whether the absolute value for stating the difference between simulated response and bridge structure response is less than setting error；Final argument determines mould
Block is used for if it is less than setting error, then using the initial parameter as the final argument of the finite element model；Adjust mould
Block, if adjusting the initial parameter for not less than setting error, until the simulated response and the bridge structure are rung
Difference between answering is less than setting error.
Specific about bridge structure prior-warning device limits the limit that may refer to above for bridge structure method for early warning
Fixed, details are not described herein.Modules in above-mentioned bridge structure prior-warning device can fully or partially through software, hardware and its
Combination is to realize.Above-mentioned each module can be embedded in the form of hardware or independently of in the processor in computer equipment, can also be with
It is stored in the memory in computer equipment in a software form, in order to which processor calls the above modules of execution corresponding
Operation.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 4.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The database of machine equipment is used to store the stress-strain data of bridge structure.The network interface of the computer equipment is used for and outside
Terminal by network connection communication.To realize a kind of bridge structure method for early warning when the computer program is executed by processor.
It will be understood by those skilled in the art that structure shown in Fig. 4, only part relevant to application scheme is tied
The block diagram of structure does not constitute the restriction for the computer equipment being applied thereon to application scheme, specific computer equipment
It may include perhaps combining certain components or with different component layouts than more or fewer components as shown in the figure.
In one embodiment, a kind of computer equipment, including memory and processor are provided, is stored in memory
Computer program, the processor perform the steps of when executing computer program
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in bridge by the vehicles identifications
Location information, and issue warning information；
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
In one embodiment, the bridge floor in the bridge is also performed the steps of when processor executes computer program
Multiple measuring points are set；Detection is applied to the stress of the measuring point, and is responded according to the bridge structure that the stress generates；According to institute
Stress and bridge structure response are stated, the bridge load cross direction profiles model of the bridge structure is established；Wherein, the stress
It is obtained by weighing to the overloaded vehicle for acting on the measuring point, the bridge structure responds the biography by being laid in the measuring point
Sensor measurement obtains, and the response includes Suo Li, amount of deflection, strain, acceleration, fracture width, inclination angle.
In one embodiment, it also performs the steps of when processor executes computer program by the bridge structure
Threedimensional model imports in finite element model, and corresponding measuring point applies stress and the finite element is arranged in Xiang Suoshu finite element model
The initial parameter of model obtains the simulated response generated according to the stress；Judge the simulated response and the bridge structure
Whether the absolute value of the difference between response is less than setting error；If it is less than setting error, then using the initial parameter as
The final argument of the finite element model；If adjusting the initial parameter not less than setting error, until the emulation is rung
Difference between should responding with the bridge structure is less than setting error.
In one embodiment, a kind of computer readable storage medium is provided, computer program is stored thereon with, is calculated
Machine program performs the steps of when being executed by processor
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in bridge by the vehicles identifications
Location information, and issue warning information；
Wherein, the response data includes rope force value, deflection value, strain value, acceleration value, fracture width value, inclination value
At least one of.
In one embodiment, the bridge in the bridge is also performed the steps of when computer program is executed by processor
Multiple measuring points are arranged in face；Detection is applied to the stress of the measuring point, and is responded according to the bridge structure that the stress generates；According to
The stress and bridge structure response, establish the bridge load cross direction profiles model of the bridge structure；Wherein, described to answer
Power is obtained by weighing to the overloaded vehicle for acting on the measuring point, and the bridge structure response is by being laid in the measuring point
Sensor measurement obtains, and the response includes Suo Li, amount of deflection, strain, acceleration, fracture width, inclination angle.
In one embodiment, it is also performed the steps of when computer program is executed by processor by the bridge structure
Threedimensional model import in finite element model, corresponding measuring point applies stress and is arranged described limited in Xiang Suoshu finite element model
The initial parameter of meta-model obtains the simulated response generated according to the stress；Judge the simulated response and the bridge knot
Whether the absolute value of the difference between structure response is less than setting error；If it is less than setting error, then the initial parameter is made
For the final argument of the finite element model；If the initial parameter is adjusted, until the emulation not less than setting error
Difference between response and bridge structure response is less than setting error.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
Each technical characteristic of above embodiments can be combined arbitrarily, for simplicity of description, not to above-described embodiment
In each technical characteristic it is all possible combination be all described, as long as however, the combination of these technical characteristics be not present lance
Shield all should be considered as described in this specification.
The several embodiments of the application above described embodiment only expresses, the description thereof is more specific and detailed, but simultaneously
It cannot therefore be construed as limiting the scope of the patent.It should be pointed out that coming for those of ordinary skill in the art
It says, without departing from the concept of this application, various modifications and improvements can be made, these belong to the protection of the application
Range.Therefore, the scope of protection shall be subject to the appended claims for the application patent.
Claims (10)
1. a kind of bridge structure method for early warning, which comprises
The weight information and vehicles identifications of vehicle of the acquisition in driving status；
The weight information of the vehicle is inputted into bridge load transverse distribution model, obtains the response data of the bridge；
When the response data of the bridge is more than given threshold, the vehicle is obtained in the position of bridge by the vehicles identifications
Confidence breath, and issue warning information；
Wherein, the response data include rope force value, deflection value, strain value, acceleration value, fracture width value, in inclination value extremely
Few one kind.
2. the method according to claim 1, wherein further include:
In the bridge floor of the bridge, multiple measuring points are set；
Detection is applied to the stress of the measuring point, and is responded according to the bridge structure that the stress generates；
It is responded according to the stress and the bridge structure, establishes the bridge load cross direction profiles model of the bridge structure；
Wherein, the stress is obtained by weighing to the overloaded vehicle for acting on the measuring point, and the bridge structure response passes through
The sensor measurement for being laid in the measuring point obtains, and the response includes Suo Li, amount of deflection, strain, acceleration, fracture width, inclines
Angle.
3. according to the method described in claim 2, it is characterized in that, the measuring point is the area that bridge structure is easy to happen damage
Domain.
4. according to the method described in claim 2, it is characterized in that, described detect is applied to the stress of the measuring point, and according to
The bridge structure response that the stress generates, comprising:
The driving trace of the vehicle is detected according to vehicles identifications；
Judge whether the vehicle reaches the measuring point by the driving trace；
When the vehicle reaches the measuring point, detection is applied to the stress of the measuring point and the bridge according to stress generation
Structural response.
5. the method according to claim 1, wherein the vehicle is overloaded vehicle.
6. the method according to claim 1, wherein the vehicles identifications include license board information, vehicle model letter
At least one of breath and contour of the vehicle feature.
7. according to the method described in claim 2, it is characterized by further comprising:
The threedimensional model of the bridge structure is imported in finite element model, corresponding measuring point applies in Xiang Suoshu finite element model
Stress and the initial parameter that the finite element model is arranged obtain the simulated response generated according to the stress；
Judge whether the absolute value of the difference between the simulated response and bridge structure response is less than setting error；
If it is less than setting error, then using the initial parameter as the final argument of the finite element model；
If adjusting the initial parameter not less than setting error, until the simulated response and the bridge structure respond
Between difference be less than setting error.
8. a kind of bridge structure prior-warning device, which is characterized in that described device includes:
Acquisition module, for acquiring the weight information and vehicles identifications that are in the vehicle of driving status；
Response data computing module obtains institute for the weight information of the vehicle to be inputted bridge load transverse distribution model
State the response data of bridge；
Alarm module, for when the response data of the bridge be more than given threshold when, by the vehicles identifications obtain described in
Vehicle and issues warning information in the location information of bridge；
Wherein, the response data include rope force value, deflection value, strain value, acceleration value, fracture width value, in inclination value extremely
Few one kind.
9. a kind of computer equipment, including memory and processor, the memory are stored with computer program, feature exists
In the step of processor realizes any one of claims 1 to 7 the method when executing the computer program.
10. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer program
The step of method described in any one of claims 1 to 7 is realized when being executed by processor.
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Cited By (15)
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| CN111210409A (en) * | 2019-12-30 | 2020-05-29 | 浙江大学 | Condition-based generation confrontation network structure damage identification method |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102720119A (en) * | 2012-01-12 | 2012-10-10 | 长安大学 | Quaternity bridge safety and state monitoring system |
| CN108225811A (en) * | 2018-01-30 | 2018-06-29 | 四川天佑慧桥科技有限公司 | A kind of bridge structure safe assessment system based on vehicular load |
| CN108763763A (en) * | 2018-05-28 | 2018-11-06 | 东南大学 | A kind of bridge structure strain-responsive abnormity early warning method |
-
2019
- 2019-02-20 CN CN201910126094.XA patent/CN109992827B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102720119A (en) * | 2012-01-12 | 2012-10-10 | 长安大学 | Quaternity bridge safety and state monitoring system |
| CN108225811A (en) * | 2018-01-30 | 2018-06-29 | 四川天佑慧桥科技有限公司 | A kind of bridge structure safe assessment system based on vehicular load |
| CN108763763A (en) * | 2018-05-28 | 2018-11-06 | 东南大学 | A kind of bridge structure strain-responsive abnormity early warning method |
Cited By (19)
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