CN108376184A - A kind of method and system of bridge health monitoring - Google Patents
A kind of method and system of bridge health monitoring Download PDFInfo
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- CN108376184A CN108376184A CN201810010261.XA CN201810010261A CN108376184A CN 108376184 A CN108376184 A CN 108376184A CN 201810010261 A CN201810010261 A CN 201810010261A CN 108376184 A CN108376184 A CN 108376184A
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Abstract
The invention discloses a kind of method and system of bridge health monitoring, including step：S1 establishes bridge structure theory mode of oscillation；S2 acquires bridge vibration data；S3 carries out real-time online data processing using message processing module to bridge vibration data；S4 is based on bridge vibration data and neural computing technology, automatically to structural damage intelligent distinguishing using Constructional Modal Analysis module.The present invention is by using wireless communication technique, bridge structure power mode and structural damage neural network recognization technology, it overcomes and of the existing technology has only reacted that bridge partial structurtes, bridge damnification be not easy to identify, data sampling sensor is of high cost, short life can not analyze mass data and the time-consuming and laborious problem of on line real-time monitoring in real time, the automation bridge health monitoring system for realizing bridge analysis of Integral Structure, damage automatic identification, on line real time mass data, saves a large amount of man power and material.
Description
Technical field
The present invention relates to the method and system that technical field of bridge engineering more particularly to a kind of bridge health monitor.
Background technology
BIM models：Building Information Modeling, Building Information Model.
NPU：Neural-network Processing Unit, neural network processor.
Bridge is the key node engineering of relationship economic life line of the country and urban lifeline, to ensure bridge structure safe fortune
Battalion, it is necessary to establish bridge structure health monitoring system.Bridge health monitoring is that one in bridge operation maintenance management is important
Content can conserve based on by being monitored to bridge and provide theories integration, it is often more important that avoid because of bridge damnification
Caused disastrous accident occurs.
Traditional bridge health monitoring mainly installs mechanics sensor by pre-setting (or embedding) in bridge, temperature passes
The elements such as sensor, by data sampling and processing and analysis pre-buried, that preset sensor element, judging the health status of bridge.
To obtain the section stress of bridge different parts, strain, amount of deflection as monitoring objective, the shortcomings that this monitoring system, has for monitoring：①
Monitoring objective is based on Static Parameter (stress, strain, amount of deflection etc.), often structure partial force-bearing situation and the part of reaction
Mechanical property；2. being difficult identification of damage when load path and damage location are inconsistent；3. the pre-buried element such as sensor is
No normal operation is unable to ensure, while component life is much low compared with structural life-time and expensive；4. difficult to realize online real-time
Monitoring, it is difficult to the specific moment of overload operation is captured, while the method processing analysis that magnanimity test data is not appropriate；5. to be real
Existing on line real-time monitoring need to expend larger man power and material.
Invention content
In order to solve the above-mentioned technical problem, the object of the present invention is to provide a kind of method and systems of bridge health monitoring.
Using wireless communication technique, bridge structure power mode and structural damage neural network recognization technology realize bridge overall structure point
Analysis, the automation bridge health monitoring system for damaging automatic identification, low cost, on line real time mass data save big
The man power and material of amount.
A kind of method of bridge health monitoring, the technical solution adopted is that：
S1, establishes bridge three-dimensional information BIM models, and bridge structure theory mode of oscillation is acquired by Constructional Modal Analysis；
S2 puts vibrating data collection element on bridge, what acquisition was caused by environmental factors such as driving, pedestrian, wind, rain
Bridge vibration data；
S3 carries out real-time online data processing using message processing module to bridge vibration data,
Including：According to bridge vibration data analysis bridge power performance change, modal idenlification is carried out；
S4 is based on bridge vibration data and neural computing technology, automatically to structure using Constructional Modal Analysis module
Damage intelligent distinguishing.
Preferably, the step S1 specifically includes sub-step：
S11 before bridge final acceptance of construction, carries out vibration-mode analysis calculating to bridge model with structure analysis software, asks
Obtain bridge structure theoretical power mode；
S21 after bridge final acceptance of construction, carries out bridge structure power Modal detection, control actual measurement bridge power mode and reason
By power mode, correcting principle power modal parameter obtains revised bridge structure power mode, in this, as monitoring operation
Structural dynamic mode sample, carry out bridge health situation long-term monitoring.
Preferably, the vibrating data collection element is piezoelectricity vialog or laser vibration measurer.
Preferably, further include sub-step in the step S2：Vibrating data collection member is carried out using collector optimization module
Part position optimization.
Preferably, the optimization algorithm that the collector optimization module uses includes EI methods, EI-MAC hybrid algorithms, QR-MAC
Hybrid algorithm, gradually backing space technique, successive Method or genetic algorithm.
Preferably, in the step S3, modal idenlification algorithm includes Random Subspace Method, frequency domain decomposition method or wavelet analysis
Method.
Preferably, in the step S4, Constructional Modal Analysis module is provided with the processor for neural computing
NPU。
Preferably, in the step S4, non-destructive tests algorithm includes being identified based on Modal Parameter Identification, damage criterion function
Or artificial neural network intelligent recognition algorithm.
Preferably, in the step S4, damage differentiates that result will provide warning information in time beyond threshold value.
Preferably, in the step S4, conventional maintenance or urgent reinforcement measure are proposed according to Damage Assessment Method result, and
By record when monitoring analysis fructufy and including in bridge BIM threedimensional models.
Preferably, in the step S4, using computer deep learning technology, pass through the non-destructive tests data to high frequency time
Accumulation and iteration, in load identification next time speed faster, accuracy of identification higher.
A kind of system of bridge health monitoring, the technical solution adopted is that：
Including multiple vibrating data collection elements, monitor supervision platform and terminal device, the vibrating data collection element passes through
Cordless communication network is connect with monitor supervision platform, and the monitor supervision platform is connect by wired or wireless communication network with terminal device；
The vibrating data collection element acquires the bridge vibration data caused by environmental factor, and net by radio communication
Gathered data is sent to monitor supervision platform by network；
The monitor supervision platform includes message processing module, collector optimization module, Constructional Modal Analysis module and bridge knot
Structure Theory of Vibration mode memory module；
Described information processing module analyzes bridge power performance change in real time according to bridge vibration data, carries out mode knowledge
Not；
The Constructional Modal Analysis module is according to bridge vibration data and is based on neural computing technology, intelligent distinguishing bridge
Girder construction is damaged；
The bridge structure Theory of Vibration mode memory module is used for storage organization Theory of Vibration mode, is convenient for structural modal
Analysis module analyzes the structural damage of bridge.
Preferably, the collector optimization module optimizes vibrating data collection position of components according to gathered data, so as to
To more accurate gathered data, the vibrating data collection element includes piezoelectricity vialog or laser vibration measurer.
Preferably, the cordless communication network includes Beidou satellite network, 3G network or 4G networks.
The beneficial effects of the invention are as follows：
The present invention is by using wireless communication technique, bridge structure power mode and structural damage neural network recognization skill
Art, overcome it is of the existing technology only reacted bridge partial structurtes, bridge damnification be easy to identify, data sampling sensor at
This height, short life can not analyze mass data and the time-consuming and laborious problem of on line real-time monitoring in real time, realize that bridge is integrally tied
Structure analysis, the automation bridge health monitoring system for damaging automatic identification, on line real time mass data, save a large amount of
Man power and material, also, have further the advantage that：
(1) monitoring objective is bridge structure integral power performance, while reflecting local damage, can actual response bridge structure
Health status improves the reliability and efficiency of bridge health monitoring；
(2) utilize wireless communication network system and environmental excitation modal analysis technique, without suspending traffic, can to bridge into
Row real time health monitors；
(3) utilize wireless collection sensor acquire bridge vibration data, need not in bridge structure pre-buried sensor etc.
Element does not have to the life problems and precision problem that consider built-in fitting；
In addition, the present invention can also provide warning information in time according to damage results, and bridge BIM technology is used, will supervised
Analysis result real-time display is controlled in bridge threedimensional model, accomplishes the visualization of monitoring effect, convenient for maintenance and management.
Description of the drawings
The specific implementation mode of the present invention is described further below in conjunction with the accompanying drawings：
Fig. 1 is bridge sample mode product process figure.
Fig. 2 is bridge health monitoring flow chart.
Fig. 3 is bridge health monitoring system structure chart.
Specific implementation mode
It should be noted that in the absence of conflict, the features in the embodiments and the embodiments of the present application can phase
Mutually combination.
Bridge monitoring monitoring system must accomplish monitoring data acquisition, the real time implementation of analysis, automation, could identify structure
Damage, timely early warning.The present invention provides one kind and being based on Constructional Modal Analysis technology, changes in terms of theoretical foundation and practical operation two
The pattern for becoming existing bridge health monitoring, may be implemented the real time implementation, automation and intelligence of bridge health monitoring system, it is ensured that
The validity of bridge health monitoring.
Power mode is the intrinsic power performance of structure, and modal analysis method is exactly each rank principal mode with undamped system
Corresponding modal coordinate replaces physical coordinates, so that the differential equation is decoupled, becomes each independent differential equation, so as to find out being
Each rank modal parameter of system.Wherein, power mode refers to the natural vibration characteristic of bridge structure, each mode has specifically
Intrinsic frequency, damping ratio and Mode Shape.The process for analyzing these modal parameters is known as model analysis.
Under environmental perturbation effect slight vibration can occur for bridge structure, though amplitude is small, the frequency vibration shape is still very bright
Really, this random vibration can be measured by means of high-precision vibration measuring equipment, by FFT spectrum analysis, can carry out Constructional Modal Analysis and parameter
Identification, by the overall performance and working condition that can effectively obtain bridge structure to the monitoring of bridge power mode.
The purpose of bridge structure mode monitoring is detecting structure damage, and traditional structural damage detection method has range estimation and surpasses
The methods of the lossless detections such as sound wave method, static(al) test.The former owner, which sees, to be conjestured, and the latter is spot check, and is based on structural modal
The non-destructive tests of monitoring then have globality, and are more preferably used for smart network's system of bridge health monitoring.
A kind of specific implementation mode of bridge health monitoring method is as follows：
1, as shown in Figure 1, establishing bridge three-dimensional information BIM models, with structure analysis software (such as ANSYS, Midas,
ABAQUS etc.) vibration-mode analysis calculating is carried out to bridge model, acquire bridge structure theory mode of oscillation.Bridge final acceptance of construction
When, carry out bridge structure power Modal detection, control actual measurement bridge power mode and theoretical power mode, correcting principle mode ginseng
Number, obtains revised bridge power mode, in this, as monitoring operation structural dynamic sample mode, carries out bridge health shape
The long-term monitoring of condition (containing anti-seismic performance).
2, during bridge operation, vibrating data collection element (such as piezoelectricity or vibration measurement with laser put on bridge are utilized
Instrument etc.), it positions time dissemination system or 3G communication networks using Beidou system-satellite or 4G communication networks supervises bridge in real time
Control.Using collector optimization module (such as EI methods, EI-MAC hybrid algorithms, QR-MAC hybrid algorithms, gradually backing space technique, gradually disappear
Subtraction, genetic algorithm etc.) it is acquired device position optimization, to obtain more accurate gathered data.
3, it in the case of bridge normal operation, acquires the bridge caused by environmental factors such as driving, pedestrian, wind, rain and shakes
Dynamic data.
4, as shown in Fig. 2, home control network communication protocol is based on, by information processing and Constructional Modal Analysis module to monitoring information
(structural vibration data) carry out real-time online data processing, analyze bridge power performance change, carry out modal idenlification and structure damage
Wound differentiation, timely early warning.Modal idenlification algorithm has Random Subspace Method, frequency domain decomposition method, wavelet analysis method etc.；Non-destructive tests are calculated
Method has based on Modal Parameter Identification, the identification of damage criterion function, artificial neural network intelligent recognition equivalent damage recognizer.
5, routine servicing is proposed according to Damage Assessment Method result or reinforces countermeasure, and three are carried out in bridge BIM models
Dimension panorama is shown.
A kind of specific implementation mode of bridge health monitoring system is as follows：
As shown in figure 3, a kind of bridge health monitoring system includes multiple vibrating data collection elements, monitor supervision platform and terminal
Equipment, network is connect vibrating data collection element with monitor supervision platform by radio communication, and monitor supervision platform passes through wired or wireless logical
Communication network is connect with terminal device.
Vibrating data collection element is piezoelectricity vialog or laser vibration measurer, acquires the bridge caused by factors such as environment and shakes
Dynamic data, and gathered data is sent to monitor supervision platform by network by radio communication.Vibrating data collection element passes through channel radio
Letter mode realizes signal transmission, it is convenient to vibrating data collection element is arranged in the position convenient for safeguarding and replacing, and nothing
Pre-buried circuit and element are needed, to facilitate later stage vibrating data collection replacement of element and maintenance, and then has ensured vibration data
The normal operation of acquisition elements.
Monitor supervision platform includes that message processing module, collector optimization module, Constructional Modal Analysis module and bridge structure are shaken
Dynamic theory mode memory module.
Message processing module analyzes bridge power performance change in real time according to bridge vibration data, carries out modal idenlification, mould
State recognizer has Random Subspace Method, frequency domain decomposition method, wavelet analysis method etc..
Collector optimization module is using EI methods, EI-MAC hybrid algorithms, QR-MAC hybrid algorithms, gradually backing space technique, gradually
The method of residues or genetic algorithm etc. optimize vibrating data collection position of components, to obtain more accurate gathered data.
Constructional Modal Analysis module is according to bridge vibration data and is based on neural computing technology, intelligent distinguishing bridge knot
Structure damages, and non-destructive tests algorithm has based on Modal Parameter Identification, the identification of damage criterion function, artificial neural network intelligent recognition etc.
Non-destructive tests algorithm.
Bridge structure Theory of Vibration mode memory module is used for storage organization Theory of Vibration mode, is convenient for Constructional Modal Analysis
The structural damage of module analysis bridge.Bridge structure Theory of Vibration mode is by bridge structure power Modal detection, to according to the facts
Bridge power mode and theoretical power mode, correcting principle modal parameter are surveyed, revised bridge power mode is obtained.
In the present embodiment, terminal device includes mobile phone, tablet computer, laptop or desktop computer etc.；Wireless communication networks
Network includes Beidou satellite network, 3G network or 4G networks etc..
It is to be illustrated to the preferable implementation of the present invention, but the invention is not limited to the implementation above
Example, those skilled in the art can also make various equivalent variations or be replaced under the premise of without prejudice to spirit of that invention
It changes, these equivalent deformations or replacement are all contained in the application claim limited range.
Claims (14)
1. a kind of bridge health monitoring method, which is characterized in that it includes step：
S1, establishes bridge three-dimensional information BIM models, and bridge structure theory mode of oscillation is acquired by Constructional Modal Analysis；
S2 acquires the bridge vibration data caused by environmental factor using the vibrating data collection element put on bridge；Institute
Stating bridge vibration data, mode is transferred to the message processing module on monitor supervision platform by radio communication；
S3 carries out real-time online data processing using message processing module to bridge vibration data, including：According to bridge vibration
Data analysis bridge power performance change carries out modal idenlification；
S4 is based on bridge vibration data and neural computing technology, automatically to structural damage using Constructional Modal Analysis module
Intelligent distinguishing.
2. a kind of bridge health monitoring method according to claim 1, which is characterized in that the step S1 specifically includes son
Step：
S11 before bridge final acceptance of construction, carries out vibration-mode analysis calculating to bridge model with structure analysis software, acquires bridge
Girder construction theoretical power mode；
S21 after bridge final acceptance of construction, carries out bridge structure power Modal detection, and control actual measurement bridge power mode and theory are dynamic
Power mode, correcting principle power modal parameter obtain revised bridge structure power mode, in this, as the knot of monitoring operation
Structure power mode sample carries out the long-term monitoring of bridge health situation.
3. a kind of bridge health monitoring method according to claim 1, which is characterized in that in step S2, the vibration number
It is piezoelectricity vialog or laser vibration measurer according to acquisition elements.
4. a kind of bridge health monitoring method according to claim 1, which is characterized in that in the step S2, further include
Sub-step：Vibrating data collection position of components optimization is carried out using collector optimization module.
5. a kind of bridge health monitoring method according to claim 4, which is characterized in that the collector optimization module is adopted
Optimization algorithm includes EI methods, EI-MAC hybrid algorithms, QR-MAC hybrid algorithms, gradually backing space technique, successive Method or something lost
Propagation algorithm.
6. a kind of bridge health monitoring method according to any one of claims 1 to 5, which is characterized in that the step S3
In, modal idenlification algorithm includes Random Subspace Method, frequency domain decomposition method or wavelet analysis method.
7. a kind of bridge health monitoring method according to claim 6, which is characterized in that in the step S4, structure mould
State analysis module is provided with the processor NPU for neural computing.
8. a kind of bridge health monitoring method according to claim 6, which is characterized in that in the step S4, damage is known
Other algorithm includes based on Modal Parameter Identification, the identification of damage criterion function or artificial neural network intelligent recognition algorithm.
9. a kind of bridge health monitoring method according to claim 6, which is characterized in that in the step S4, damage is sentenced
Other result will provide warning information in time beyond threshold value.
10. a kind of bridge health monitoring method according to claim 1, which is characterized in that in the step S4, according to knot
Structure non-destructive tests result proposes conventional maintenance or urgent reinforcement measure, and by record when monitoring analysis fructufy and including in bridge
In BIM threedimensional models.
11. a kind of bridge health monitoring method according to claim 1, which is characterized in that in the step S4, utilize meter
Calculation machine deep learning technology, by the non-destructive tests data accumulation and iteration to high frequency time, the speed in load identification next time
Faster, accuracy of identification higher.
12. a kind of bridge health monitoring system, which is characterized in that including multiple vibrating data collection elements, monitor supervision platform and end
End equipment, network is connect the vibrating data collection element with monitor supervision platform by radio communication, and the monitor supervision platform is by having
Line or cordless communication network are connect with terminal device；
The vibrating data collection element acquires the bridge vibration data caused by environmental factor, and network will by radio communication
Gathered data is sent to monitor supervision platform；
The monitor supervision platform includes that message processing module, collector optimization module, Constructional Modal Analysis module and bridge structure are shaken
Dynamic theory mode memory module；
Described information processing module analyzes bridge power performance change in real time according to bridge vibration data, carries out modal idenlification；
The Constructional Modal Analysis module is according to bridge vibration data and is based on neural computing technology, intelligent distinguishing bridge knot
Structure damages；
The bridge structure Theory of Vibration mode memory module is used for storage organization Theory of Vibration mode, is convenient for Constructional Modal Analysis
The structural damage of module analysis bridge.
13. a kind of bridge health monitoring system according to claim 12, which is characterized in that the collector optimization module
Optimize vibrating data collection position of components according to gathered data, to obtain more accurate gathered data, the vibration data is adopted
It includes piezoelectricity vialog or laser vibration measurer to collect element.
14. a kind of bridge health monitoring system according to claim 12, which is characterized in that the cordless communication network packet
Include Beidou satellite network, 3G network or 4G networks.
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| CN110046379A (en) * | 2019-03-04 | 2019-07-23 | 浙江大学 | A kind of structure entirety damnification recognition method based on space-frequency information |
| CN110110583A (en) * | 2019-03-14 | 2019-08-09 | 长安大学 | A kind of real-time online integration bridge mode automatic recognition system |
| CN110470447A (en) * | 2019-08-22 | 2019-11-19 | 北京新桥技术发展有限公司 | A kind of highway columnar pier service state fast evaluation method |
| CN110543706A (en) * | 2019-08-21 | 2019-12-06 | 哈尔滨工业大学 | In-service bridge support damage diagnosis method based on vehicle braking effect |
| CN110782041A (en) * | 2019-10-18 | 2020-02-11 | 哈尔滨工业大学 | Structural modal parameter identification method based on machine learning |
| CN111123298A (en) * | 2019-12-09 | 2020-05-08 | 深圳市市政设计研究院有限公司 | GPS terminal and IC card terminal matching method and device based on machine learning algorithm |
| CN111323488A (en) * | 2020-04-15 | 2020-06-23 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Damage detection method, device, equipment and medium for large metal roof panel |
| CN111611634A (en) * | 2020-03-30 | 2020-09-01 | 南京震坤物联网科技有限公司 | Bridge health assessment system and health assessment method based on BIM-FEM |
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| CN113008494A (en) * | 2021-02-01 | 2021-06-22 | 上海盛磊信息科技有限公司 | Radome structure health degree monitoring equipment and monitoring method based on deep learning |
| CN115097974A (en) * | 2022-07-06 | 2022-09-23 | 成都建工第四建筑工程有限公司 | Intelligent auxiliary consultation system and method for BIM (building information modeling) |
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| CN110046379B (en) * | 2019-03-04 | 2021-01-19 | 浙江大学 | Structure overall damage identification method based on space-frequency information |
| CN110046379A (en) * | 2019-03-04 | 2019-07-23 | 浙江大学 | A kind of structure entirety damnification recognition method based on space-frequency information |
| CN110110583A (en) * | 2019-03-14 | 2019-08-09 | 长安大学 | A kind of real-time online integration bridge mode automatic recognition system |
| CN110110583B (en) * | 2019-03-14 | 2022-10-11 | 长安大学 | Real-time online integrated bridge modal automatic identification system |
| CN110543706A (en) * | 2019-08-21 | 2019-12-06 | 哈尔滨工业大学 | In-service bridge support damage diagnosis method based on vehicle braking effect |
| CN110470447A (en) * | 2019-08-22 | 2019-11-19 | 北京新桥技术发展有限公司 | A kind of highway columnar pier service state fast evaluation method |
| CN110470447B (en) * | 2019-08-22 | 2020-08-04 | 北京新桥技术发展有限公司 | Rapid assessment method for service state of highway column type pier |
| CN110782041A (en) * | 2019-10-18 | 2020-02-11 | 哈尔滨工业大学 | Structural modal parameter identification method based on machine learning |
| CN110782041B (en) * | 2019-10-18 | 2022-08-02 | 哈尔滨工业大学 | Structural modal parameter identification method based on machine learning |
| CN111123298A (en) * | 2019-12-09 | 2020-05-08 | 深圳市市政设计研究院有限公司 | GPS terminal and IC card terminal matching method and device based on machine learning algorithm |
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| CN111323488B (en) * | 2020-04-15 | 2022-12-13 | 哈尔滨工业大学(深圳)(哈尔滨工业大学深圳科技创新研究院) | Damage detection method, device, equipment and medium for large metal roof panel |
| CN112052625A (en) * | 2020-08-13 | 2020-12-08 | 五邑大学 | Method for estimating and predicting building life based on big data |
| CN112100721A (en) * | 2020-09-07 | 2020-12-18 | 浙江大学 | Bridge structure modal identification method based on mobile crowd sensing and deep learning |
| CN112100721B (en) * | 2020-09-07 | 2022-08-26 | 浙江大学 | Bridge structure modal identification method based on mobile crowd sensing and deep learning |
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| CN115097974B (en) * | 2022-07-06 | 2024-05-31 | 成都建工第四建筑工程有限公司 | BIM intelligent auxiliary consultation system and method |
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