CN106404319A - Remote automatic real-time bridge monitoring system and method based on MEMS technology - Google Patents
Remote automatic real-time bridge monitoring system and method based on MEMS technology Download PDFInfo
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- CN106404319A CN106404319A CN201610700988.1A CN201610700988A CN106404319A CN 106404319 A CN106404319 A CN 106404319A CN 201610700988 A CN201610700988 A CN 201610700988A CN 106404319 A CN106404319 A CN 106404319A
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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
- 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
- G01M5/0041—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress
- G01M5/005—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by determining deflection or stress by means of external apparatus, e.g. test benches or portable test systems
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- 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
- G01M5/0066—Investigating the elasticity of structures, e.g. deflection of bridges or air-craft wings by exciting or detecting vibration or acceleration
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- Aviation & Aerospace Engineering (AREA)
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- General Physics & Mathematics (AREA)
- Bridges Or Land Bridges (AREA)
- Testing Of Devices, Machine Parts, Or Other Structures Thereof (AREA)
Abstract
The invention discloses a remote automatic real-time bridge monitoring system and method based on an MEMS technology. The system comprises an MEMS inclination angle sensor, an MEMS accelerometer, a transmission network and a data center, the MEMS inclination angle sensor monitors inclination of bridge members so as to obtain the static flexibility of a bridge under a load effect, the MEMS accelerometer monitors the acceleration so as to obtain a dynamic flexibility function and the natural vibration frequency of the bridge, the MEMS inclination angle sensor and the MEMS accelerometer send monitored bridge data to the data center via the transmission network, and the data center analyzes and processes the bridge data, and evaluates the health condition of the bridge. According to the monitoring system and method, the static flexibility and dynamic flexibility of the bridge floor as well as the gradients of bridge tower, floor and piers can be fit and measured, the health state of the bridge can be evaluated according to power response of the bridge, and important basis is provided for diagnosis on bridge damage and timely maintenance.
Description
Technical field：
The present invention relates to bridge monitoring field is and in particular to supervise in real time to the bridge remote automation based on MEMS technology
Examining system and method.
Background technology：
Currently, the domestic monitoring overwhelming majority to bridge is still come related data is surveyed by the way of manual work
Amount, record, analysis and process, there are various disadvantages, for example in this monitoring mode：Complete a bridge monitoring time-consuming it is difficult to
Keep the uniformity of each measuring point data working condition；Being difficult to elimination different time data measured is affected to make by other factors such as temperature
The deviation becoming；Due to manual work, subjectivity is strong, inevitably introduces artificial error or even mistake, data processing stream
Journey is complicated；, there is higher job safety risk in Partial Bridges measurement action need high-altitude and operation at sea；Cannot accomplish in real time
Monitoring, for the promptly timely early warning of situation (as natural calamity, overload, ship collision etc.) shortage suddenly, for example, occurs ship to hit
Bridge accident, more cannot be to bridge it is impossible to very first time notice rescue maintenance personal reaches the spot it is also difficult to inform gap bridge vehicle in time
The safe condition of beam is quickly analyzed and processed.
From the foregoing, it will be observed that cannot be to bridge by the way of manual work, especially large complicated bridge is accomplished rapidly and efficiently
Monitoring.And when being monitored using sensor, be all using the wired connection such as CAN or RS485 bus mostly at present
Mode, with increasing of number of sensors and species, the gauze complexity of wired connection can be multiplied, and has in turn resulted in huge
Big cost.
In recent years, also it is proposed that the bridge that local network is coupled with remote terminal is realized by wired or wireless way
Monitoring technology, such as the sensor-based bridge automatic detection system with Chinese invention patent 200910211105.0 as representative
System, is provided with multiple field monitoring subsystems and remote monitoring center, wherein each field monitoring subsystem includes locally controlling meter
Calculation machine and the signal pickup assembly being connected in local control computer, remote monitoring center passes through software bus platform and each signal
Harvester couples, and data is changed and made by software bus platform remote monitoring center and each signal pickup assembly to realize number
According to exchange such that it is able to very convenient realize each identical or different bridge field monitoring subsystem and remote monitoring center
Data communication.This kind of technology simply efficiently solves the data exchange of field monitoring subsystem and remote monitoring center, data
The problems such as distributed storage and equipment dilatation, do not refer to bridge data collection accuracy, real-time the problems such as it is difficult to assessment
The health status of bridge.
It is therefore desirable to setting up new bridge automation remote monitoring system, in order to quick, efficient, real-time monitoring and
Assess security during runing for the bridge and health status.
Content of the invention：
In order to solve the problems of prior art, the bridge remote automation that the present invention proposes based on MEMS technology is real
When monitoring system, real-time fitting can measure the static deflection of bridge floor, the gradient of dynamic deflection, bridge tower bridge floor and bridge pier, and
Bridge health state can be assessed according to the dynamic response of bridge, important for the diagnosis of bridge damnification, on-call maintenance maintenance offer
Foundation.
The present invention also proposes the bridge remote automation method of real-time based on MEMS technology.
Bridge remote automation real-time monitoring system of the present invention adopts the following technical scheme that to realize：Based on MEMS technology
Bridge remote automation real-time monitoring system, including MEMS obliquity sensor, MEMS acceleration transducer, transmission network and data
Center, MEMS obliquity sensor is used for the inclination of bridge member is monitored scratching to obtain static state under load action for the bridge
Degree, MEMS acceleration transducer is used for monitoring acceleration to obtain bridge dynamic deflection function and the natural frequency of vibration；MEMS inclination angle senses
Device, MEMS acceleration transducer are connected with transmission network respectively, are sent the bridge data monitored information by transmission network
To data center；Data center is analyzed, processes to bridge data information, the health status of assessment bridge.
Preferably, described MEMS obliquity sensor includes being sequentially connected MEMS obliquity information acquisition module, modular converter,
Main control module and sending module, bridge tilt data matching according to acquired in MEMS obliquity information acquisition module for the main control module obtains
Go out static deflection under load action for the bridge.Described MEMS obliquity sensor is preferably mounted at bridge tower, bridge floor and pier location,
For being monitored to the inclination of bridge member, the monitoring that tilts of wherein bridge floor is included along bridge to the inclination monitoring with direction across bridge.
Preferably, described MEMS acceleration transducer includes MEMS acceleration information acquisition module, the conversion being sequentially connected
Module, main control module and sending module；Main control module adopts self compensation algorithm to acquired in MEMS acceleration information acquisition module
Accekeration be modified, calculate bridge dynamic deflection function and the natural frequency of vibration, obtain bridge based on accekeration
Acceleration responsive, and then assess the integral dynamic properties of bridge structure.Described MEMS acceleration transducer is preferably mounted at bridge floor
With bridge tower position, for being monitored to the horizontally and vertically accekeration of bridge floor and bridge tower.
Bridge remote automation method of real-time of the present invention, comprises the following steps：
S1, measure the tilt condition of bridge floor, bridge pier and bridge tower by MEMS obliquity sensor, be converted into corresponding inclination angle letter
Breath, and matching draws operation static deflection under load action for the bridge, finally static deflection is transferred to data center；
S2, measure the horizontally and vertically vibration state of bridge floor and bridge tower by MEMS acceleration transducer, be converted into corresponding
Acceleration signal, obtain the acceleration responsive of bridge according to acceleration signal, calculate bridge moving parameter and power attribute, assessment
The integral dynamic properties of bridge structure and degree of impairment, and it is transferred to data center；
S3, measure the strain ginseng of bridge respectively by strain gauge, Suo Liji, great-scale displacement meter and Temperature Humidity Sensor
Number, drag-line parameter, displacement and humiture, and it is transferred to data center；
The data message of the reflection bridge health situation that S4, data center are transmitted to step S1 3 is analyzed, processes
And display, the health status of bridge is estimated, and the data message that transfinites is carried out and alarm.
The fitting precision of static deflection described in step S1 is improved by the quantity increasing MEMS obliquity sensor.
Compared with prior art, the present invention has following beneficial effect：
1st, the obliquity sensor of the present invention and acceleration transducer are based on MEMS technology, can the inclining of real-time monitoring bridge
Tiltedly, vibration and amount of deflection, real-time fitting measure the static deflection of bridge floor, the gradient of dynamic deflection, bridge tower bridge floor and bridge pier and
Bridge health state can be assessed according to the dynamic response of bridge, important for the diagnosis of bridge damnification, on-call maintenance maintenance offer
Foundation, can real-time, monitor bridge health situation.
2nd, all it is provided with signals collecting and wireless sending module inside all the sensors, pre- in order to carry out to the data of collection
Process, store and send；Then data is supervised to bridge health by the information transmission that wireless network will reflect bridge running status
Survey in software, in order to be analyzed to data message, to process and to show, bridge management and attendant carry out real-time monitoring bridge accordingly
The operation conditions of beam.
3rd, in order to avoid the drift of MEMS acceleration transducer affects, using self compensation algorithm, under the conditions of no-load
Bridge vibration speed is 0 characteristic, and accekeration is modified, and calculates the power such as bridge dynamic deflection function and the natural frequency of vibration
Parameter.
Brief description：
Fig. 1 is the bridge remote automation real-time monitoring system block diagram based on MEMS technology for the present invention；
In Fig. 2, (a) is MEMS obliquity sensor hardware structure diagram of the present invention, and (b) is MEMS acceleration transducer hardware knot
Composition；
Fig. 3 is the arrangement schematic diagram in bridge structure for the inventive sensor；
Fig. 4 is the design flow diagram based on the bridge remote automation method of real-time of MEMS technology for the present invention；
Above-mentioned in figure, 1, MEMS obliquity sensor；2nd, MEMS acceleration transducer；3rd, strain gauge；4th, great-scale displacement meter；
5th, Temperature Humidity Sensor；6th, Suo Liji；7th, bridge tower；8th, bridge floor；9th, bridge pier；10th, drag-line.
Specific embodiment：
Below in conjunction with embodiment and Figure of description, the present invention is described in further detail, but the enforcement of the present invention
Mode not limited to this.
Embodiment
As shown in figure 1, bridge remote automation monitoring system of the present invention, including sensor, transmission network, data center,
Bridge health monitoring command centre and mobile client, wherein sensor include MEMS obliquity sensor, MEMS acceleration sensing
Device and other sensor, other sensors include strain gauge, Suo Liji, great-scale displacement meter and Temperature Humidity Sensor etc..MEMS
Obliquity sensor and MEMS acceleration transducer are used for inclination, vibration and the amount of deflection of real-time monitoring bridge.Inside all the sensors
It is provided with signals collecting and wireless sending module, and is connected with transmission network respectively, by transmission network by the bridge monitored
Beam data message is sent to data center；Data center is analyzed, processes to bridge data information, the healthy shape of assessment bridge
Condition, bridge health monitoring command centre and mobile client, by the access to data center, obtain the health status of bridge.Pass
Defeated network preferred wireless transmission network, such as GPRS, 3G or 4G mobile network.
MEMS obliquity information acquisition module that MEMS obliquity sensor includes being sequentially connected, modular converter, main control module and
Sending module, aforementioned modules are powered by high-precision regulated power supply, such as shown in Fig. 2 (a).MEMS acceleration transducer includes connecting successively
MEMS acceleration information acquisition module, modular converter, main control module and the sending module connecing, aforementioned modules are by high-precision voltage stabilizing electricity
Source powers, such as shown in Fig. 2 (b).In MEMS obliquity information acquisition module, MEMS acceleration information acquisition module, temperature all can be set
Sensor；Also temperature sensor can be arranged on MEMS obliquity information acquisition module, outside MEMS acceleration information acquisition module, temperature
Degree sensor is connected with modular converter.
Referring to Fig. 3, for accurate, real-time monitoring bridge health data information, MEMS obliquity sensor 1 is pacified by the present invention
It is contained in bridge tower 7, bridge floor 8 and bridge pier 9 position, for being monitored to the inclination of bridge member, the inclination monitoring bag of wherein bridge floor
Include along bridge to the inclination monitoring with direction across bridge, show that operation static state under load action for the bridge is scratched using tilt data matching
Degree.To improve the fitting precision of static deflection, can suitably increase the quantity of MEMS obliquity sensor, to improve MEMS inclination angle
Sensor be arranged on along bridge to density.
MEMS acceleration transducer 2 is arranged on bridge floor 8 and bridge tower 7 position, for the level of bridge floor and bridge tower and perpendicular
It is monitored to acceleration.In order to avoid the drift impact of MEMS acceleration transducer, the present invention adopts self compensation algorithm, utilizes
Under the conditions of no-load, bridge vibration speed is 0 characteristic, and accekeration is modified, calculate bridge dynamic deflection function and from
The kinetic parameters such as vibration frequency.Based on the acceleration signal that MEMS acceleration transducer is monitored, obtain the acceleration of bridge
Response, and then assess the integral dynamic properties of bridge structure, damage and health status to bridge accordingly is diagnosed and is assessed.
Strain gauge 3 is arranged in the armored concrete needing monitoring, for being monitored to the strain of reinforcing bar and concrete；
Suo Li meter 6 is attached on drag-line, for being monitored to the fundamental frequency of bridge cable 10, pulling force and amplitude；Great-scale displacement meter 4 is pacified
It is contained in pier location, for being monitored to the sedimentation of bridge pier 9；Temperature Humidity Sensor 5 is arranged on sensitive to temperature and humidity
Bridge position, for the monitoring of temperature and humidity.If there being other monitoring requirements, such as the monitoring of bridge periphery wind-force, can
To install corresponding sensor in relevant position.
Before monitoring system of the present invention starts, debug all the sensors, including signals collecting and wireless sending module it is ensured that
All of equipment all normal works.Bridge remote automation method of real-time of the present invention, comprises the following steps：
S1, measure the tilt condition of bridge floor, bridge pier and bridge tower by MEMS obliquity sensor, be converted into corresponding inclination angle letter
Breath, is processed by main control module, and matching draws operation static deflection under load action for the bridge, and is passed by sending module
It is defeated by data center.Static deflection fitting precision can be improved by the suitable quantity increasing MEMS obliquity sensor.
S2, measure the horizontally and vertically vibration state of bridge floor and bridge tower by MEMS acceleration transducer, be converted into corresponding
Acceleration signal, main control module according to acceleration signal, obtains the acceleration responsive of bridge, calculates bridge moving parameter and power
Attribute, the integral dynamic properties of assessment bridge structure and degree of impairment, and data center is transferred to by sending module.
S3, measure the strain ginseng of bridge respectively by strain gauge, Suo Liji, great-scale displacement meter and Temperature Humidity Sensor
Number, drag-line parameter, displacement and humiture etc., and data center is transferred to by sending module.
The data message of the reflection bridge health situation that S4, data center are transmitted to step S1 3 is analyzed, processes
And display, the health status of bridge is estimated, and the data message that transfinites is carried out and alarm.
S5, bridge management and attendant, either in bridge health monitoring command centre, still pass through to move at the scene
Client, can control the operation conditions of bridge, it is achieved thereby that bridge health is long-range in real time by accessing data center
Automation real-time monitoring.
Above-described embodiment is the present invention preferably embodiment, but embodiments of the present invention are not limited by above-mentioned enforcement
System, other any Spirit Essences without departing from the present invention and the change made under principle, modification, replacement, combines, simplifies, all
Should be equivalent substitute mode, be included within protection scope of the present invention.
Claims (10)
1. the bridge remote automation real-time monitoring system based on MEMS technology it is characterised in that include MEMS obliquity sensor,
MEMS acceleration transducer, transmission network and data center, MEMS obliquity sensor is used for the inclination of bridge member is supervised
Survey to obtain static deflection under load action for the bridge, MEMS acceleration transducer is used for monitoring acceleration to obtain bridge moving
Deflection functions and the natural frequency of vibration；MEMS obliquity sensor, MEMS acceleration transducer are connected with transmission network respectively, by transmission
The bridge data monitored information is sent to data center by network；Data center is analyzed, processes to bridge data information,
The health status of assessment bridge.
2. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 1 it is characterised in that
Described MEMS obliquity sensor includes MEMS obliquity information acquisition module, modular converter, main control module and the transmission being sequentially connected
Module, bridge tilt data matching according to acquired in MEMS obliquity information acquisition module for the main control module show that bridge is made in load
With under static deflection.
3. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 2 it is characterised in that
Described MEMS obliquity sensor is arranged on bridge tower, bridge floor and pier location, for being monitored to the inclination of bridge member, wherein
The monitoring that tilts of bridge floor is included along bridge to the inclination monitoring with direction across bridge.
4. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 1 it is characterised in that
MEMS acceleration information acquisition module that described MEMS acceleration transducer includes being sequentially connected, modular converter, main control module and
Sending module；Main control module is repaiied to the accekeration acquired in MEMS acceleration information acquisition module using self compensation algorithm
Just, calculate bridge dynamic deflection function and the natural frequency of vibration, obtain the acceleration responsive of bridge, Jin Erping based on accekeration
Estimate the integral dynamic properties of bridge structure.
5. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 4 it is characterised in that
Described MEMS acceleration transducer is arranged on bridge floor and bridge tower position, for the horizontally and vertically accekeration to bridge floor and bridge tower
It is monitored.
6. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 1 it is characterised in that
Also include the strain gauge being connected with transmission network, described strain gauge is arranged in the armored concrete needing monitoring, for steel
The strain of muscle and concrete is monitored.
7. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 1 it is characterised in that
Also include the Suo Liji being connected with transmission network, described Suo Li meter is attached on bridge cable, for the fundamental frequency of bridge cable,
Pulling force and amplitude are monitored.
8. the bridge remote automation real-time monitoring system based on MEMS technology according to claim 1 it is characterised in that
Also include：The great-scale displacement meter being connected with transmission network, described great-scale displacement meter is arranged on pier location, for bridge pier
Sedimentation be monitored；And respectively be connected with data center bridge health monitoring command centre, mobile client.
9. according to any one of claim 18 the bridge remote automation real-time monitoring system based on MEMS technology bridge
Beam remote automation method of real-time is it is characterised in that comprise the following steps：
S1, measure the tilt condition of bridge floor, bridge pier and bridge tower by MEMS obliquity sensor, be converted into corresponding obliquity information,
And matching draws operation static deflection under load action for the bridge, finally static deflection is transferred to data center；
S2, measure the horizontally and vertically vibration state of bridge floor and bridge tower by MEMS acceleration transducer, be converted into corresponding plus
Rate signal, obtains the acceleration responsive of bridge according to acceleration signal, calculates bridge moving parameter and power attribute, assesses bridge
The integral dynamic properties of structure and degree of impairment, and it is transferred to data center；
S3, measure the strain parameter of bridge respectively, draw by strain gauge, Suo Liji, great-scale displacement meter and Temperature Humidity Sensor
Rope parameter, displacement and humiture, and it is transferred to data center；
The data message of the reflection bridge health situation that S4, data center are transmitted to step S1 3 is analyzed, processes and shows
Show, the health status of bridge is estimated, and the data message that transfinites is carried out and alarm.
10. bridge remote automation method of real-time according to claim 9 is it is characterised in that also include step：
S5, access data center by bridge health monitoring command centre or mobile client, control the operation shape of bridge in real time
Condition, realizes the remote automation real-time monitoring of bridge health；
The fitting precision of static deflection described in step S1 is improved by the quantity increasing MEMS obliquity sensor.
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| CN106644326A (en) * | 2017-02-17 | 2017-05-10 | 中国地震局工程力学研究所 | Bridge load limit fast monitoring system based on dynamic deflection |
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| CN108133070A (en) * | 2017-09-19 | 2018-06-08 | 广州市建筑科学研究院有限公司 | A kind of appraisal procedure and system of the bridge health situation based on radial basis function neural network |
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| CN110516945A (en) * | 2019-08-20 | 2019-11-29 | 中电建路桥集团有限公司 | A kind of structure bearing structure Life cycle remote monitoring system and method altogether |
| CN110608862A (en) * | 2019-06-05 | 2019-12-24 | 广东汇涛工程科技有限公司 | Method for measuring dynamic mean deflection of bridge through tilt angle sensor |
| CN110646227A (en) * | 2018-06-27 | 2020-01-03 | 斯凯孚公司 | Wireless condition monitoring sensor with near field communication debugging hardware |
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| CN112697373A (en) * | 2021-01-22 | 2021-04-23 | 扬州大学 | Method for estimating displacement of railway bridge with damaged component |
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