CN107330264A - A kind of verification method of bridge monitoring data reliability - Google Patents
A kind of verification method of bridge monitoring data reliability Download PDFInfo
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Abstract
The invention discloses a kind of verification method of bridge monitoring data reliability, first choose concern symmetric position class sensor and fix duration, continuous Monitoring Data；Actual monitoring data are pre-processed, two groups of Monitoring Datas that average is 0 are obtained；The similarity of two groups of Monitoring Datas is calculated, is required if similarity is met, then it is assumed that Monitoring Data has higher reliability；If Monitoring Data similarity is unsatisfactory for requiring, choose the Monitoring Data of concern position dissimilar sensor and adjacent position same type sensor symmetric position, data prediction is carried out respectively and similarity indices are calculated, if the similitude of each group Monitoring Data is unsatisfactory for requiring, it is considered that structure occurs abnormal, it is necessary to carry out special examined；If there is the higher Monitoring Data group of similarity, then it is assumed that the Monitoring Data reliability of concern position is not enough.The checking to bridge monitoring data reliability can be realized using this method, reliable data basis is provided for the research such as non-destructive tests and state estimation.
Description
Technical field
The invention belongs to technical field of bridge engineering, and in particular to a kind of verification method of bridge monitoring data reliability.
Background technology
Span bridge health monitoring system is a complicated system engineering, has merged modern test analysis, computer, number
The sophisticated technology in the field such as theory and communication.The subject goal of health monitoring systems is encouraged by measuring reflection bridge environment
With some information of structural response state, the service behaviour of bridge is monitored in real time and the working condition of bridge is assessed, to ensure bridge
The safe operation of beam.In recent years, with the raising to bridge safty and durability understanding and new detection means, monitoring
Technology and information transfer means are continued to bring out so that structure long term monitoring technology has significant progress.Since the nineties,
Health monitoring systems are arranged on the unique novel non-traditional structure of some large-scale cableway platforms and moulding by many countries
On bridge.The research of Bridges in Our Country health monitoring systems starts from later stage 1990s with application, compared with other countries, I
State's health monitoring systems have the characteristics of quantity is more, scale of investment is big, Tsing Ma Bridge, Zhoushan bridge spanning the sea, the Su Tong in such as Hong Kong
Bridge and the bridge of spit of fland nine etc..At present, domestic existing up to a hundred large bridges are mounted with health monitoring systems.By more than 20 years
Try to explore, researcher achieves certain achievement in bridge health monitoring field, but be due to monitoring system steady in itself
The deficiency and sensor of qualitative, durability and anti-interference are influenceed by environmental factor, and the reliability of Monitoring Data is often difficult
To ensure.
Monitoring Data is one of significant data support of bridge early warning and state estimation research, and its reliability is to carry out items
The important prerequisite of further investigation.At present, the reference based on Monitoring Data has no the research verified to data reliability.
Therefore, the verification method of Monitoring Data reliability is carried out studying significant.
The content of the invention
To solve the above problems, the invention discloses a kind of verification method of bridge monitoring data reliability, using
Monitoring Data, verify its reliability, it is ensured that bridge operation safety.
To reach above-mentioned purpose, technical scheme is as follows：
A kind of verification method of bridge monitoring data reliability, extracts the bridge symmetric position of continuous fixed duration first
Monitoring Data；Due to the symmetry of bridge structure, the Monitoring Data of bridge symmetric position should have higher under load action
The similitude of degree, the correlation degree of two groups of Monitoring Datas of symmetric position is calculated using slope grey relevant degree method；Count respectively
The correlation degree of the monitoring position dissimilar sensor Monitoring Data Sensor monitoring data identical with diverse location is calculated, in terms of
Obtained grey relational grade sequence of values is index, if the degree of association of each group symmetric position Monitoring Data is in higher water
It is flat, then it is assumed that bridge monitoring data are respectively provided with higher reliability level；If it is poor Monitoring Data relevance occur, other group of number
According to relevance it is preferable, then it is assumed that the reliability of the poor Monitoring Data of relevance is not enough；If the association of all Monitoring Datas
There is deficiency in property, then it is assumed that bridge is likely to occur exception, it is necessary to carry out detailed inspection.
Further, a kind of verification method of bridge monitoring data reliability is comprised the following specific steps that：
1) Monitoring Data of symmetric position at concern position, is chosen, according to the symmetry of bridge, continuous fixed duration is extracted
Symmetric position similar Monitoring Data.
2), the Monitoring Data to selection is pre-processed, and the average value of all Monitoring Datas in fixed duration is calculated, with reality
The Monitoring Data of survey subtracts average, obtains the data that a class mean is 0.
3), the similitude to symmetric position Monitoring Data is estimated, and the present invention uses slope grey Relational Analysis Method
The uniformity that symmetric position Monitoring Data changes over time trend is assessed, slope grey relational grade disclosure satisfy that beam just unitizes and locate
Preserving-order effect after reason, equalization, first value will not change grey relational grade sequence collection.The calculation formula of Slope correlation is
In formula, N is the Monitoring Data quantity in continuous fixed duration；WithRespectively
Monitoring Data at symmetric position 1 and symmetric position 2；WithIt is the adjacent moment at symmetric position 1 and symmetric position 2
Monitoring Data difference, is represented byWith
4), required if calculating obtained similarity indices and meeting, then it is assumed that the Monitoring Data of analysis has higher reliable
Property.
5), it is unsatisfactory for requiring if calculating obtained similarity indices, same position dissimilar sensor n groups is chosen respectively
The m group symmetric position Monitoring Datas of symmetric position Monitoring Data and adjacent position same type sensor, carry out data pre- successively
Processing and the calculating of similarity indices, formation sequence index
In formula, ri jFor the degree of association of two groups of Monitoring Datas of symmetric position, wherein i represents different positions, and j represents inhomogeneity
The sensor of type.
A), if any r in sequence indicatori jBe unsatisfactory for the requirement of similitude, then it is assumed that bridge structure occur it is abnormal, it is necessary to
Carry out special examined.
B), if there is r in sequence indicatori jMeet the requirement of similitude, then it is assumed that the Monitoring Data association of the symmetric position
Property it is poor, it is believed that the reliability of related Monitoring Data is not enough.
The beneficial effects of the invention are as follows：
A kind of verification method of bridge monitoring data reliability proposed by the present invention, takes full advantage of the symmetrical of bridge structure
Property feature, based on grey correlation theory calculate symmetric position Monitoring Data the degree of association be used as Monitoring Data similitude evaluation
Index.In order to further prove the reliability of Monitoring Data, recognize bridge exception or damage and give bridge symmetric position Monitoring Data
The influence that similitude is brought, chooses the symmetric position monitoring of same position different sensors sensor identical with diverse location respectively
Data carry out similarity assessment, add the confidence level of Monitoring Data reliability demonstration.Effectively checking Monitoring Data is reliable
Property, it is the important prerequisite of the researchs such as bridge structural damage identification and state estimation, is the important guarantor for ensureing follow-up study conclusion correctness
Barrier.
Brief description of the drawings
Fig. 1 is bridge monitoring data reliability verifying method flow chart；
Fig. 2 is the cable force monitoring time sequential value of 18# suspension cables symmetric position 1；
Fig. 3 is the cable force monitoring time sequential value of 18# suspension cables symmetric position 2；
Fig. 4 is the contrast of 18# suspension cable symmetric position Suo Li differences；
Fig. 5 is the contrast of 17# suspension cable symmetric position Suo Li differences；
Fig. 6 is the contrast of 19# suspension cable symmetric position Suo Li differences；
Fig. 7 is the correspondence amount of deflection symmetric position amount of deflection difference contrast of 18# suspension cables position.
Embodiment
With reference to the accompanying drawings and detailed description, the present invention is furture elucidated, it should be understood that following embodiments are only
For illustrating the present invention rather than limitation the scope of the present invention.
A kind of verification method of bridge monitoring data reliability, extracts the bridge symmetric position of continuous fixed duration first
Monitoring Data；Due to the symmetry of bridge structure, the Monitoring Data of bridge symmetric position should have higher under load action
The similitude of degree, the correlation degree of two groups of Monitoring Datas of symmetric position is calculated using slope grey relevant degree method；Count respectively
The correlation degree of the monitoring position dissimilar sensor Monitoring Data Sensor monitoring data identical with diverse location is calculated, in terms of
Obtained grey relational grade sequence of values is index, if the degree of association of each group symmetric position Monitoring Data is in higher water
It is flat, then it is assumed that bridge monitoring data are respectively provided with higher reliability level；If it is poor Monitoring Data relevance occur, other group of number
According to relevance it is preferable, then it is assumed that the reliability of the poor Monitoring Data of relevance is not enough；If the association of all Monitoring Datas
There is deficiency in property, then it is assumed that bridge is likely to occur exception, it is necessary to carry out detailed inspection；Comprise the following specific steps that：
1) the corresponding sensing station of Monitoring Data of concern, is chosen, according to the symmetry of bridge, when extracting continuous fixed
The similar Monitoring Data of long symmetric position, the fixation duration should be chosen according to the action period of load, choose load action
One or several complete cycles be used as one research duration；
2) uniformity that symmetric position Monitoring Data changes over time trend, is assessed using grey Relational Analysis Method, tiltedly
Rate grey relational grade disclosure satisfy that the preserving-order effect after beam just unitized processing, and equalization, first value will not change grey pass
Connection degree sequence collection.The calculation formula of Slope correlation is
In formula, N is the Monitoring Data quantity in continuous fixed duration；WithRespectively
Monitoring Data at symmetric position 1 and symmetric position 2；WithIt is the adjacent moment at symmetric position 1 and symmetric position 2
Monitoring Data difference, is represented byWith
3) it is mutually similar with diverse location that same position dissimilar sensor n group symmetric position Monitoring Datas, are chosen respectively
The m group symmetric position Monitoring Datas of type sensor, calculate it and associate angle value, formation sequence index
In formula, ri jFor the degree of association of two groups of Monitoring Datas of symmetric position, wherein i represents different positions, and j represents inhomogeneity
The sensor of type.
A), if any r in sequence indicatori jValue be all higher than given threshold value [r], then it is assumed that the symmetrical position of each group Monitoring Data
Put and be respectively provided with higher relevance, it is believed that bridge monitoring data have higher reliability；
B), if there is r in sequence indicatori jValue be less than given threshold value [r], then it is assumed that the Monitoring Data of the symmetric position
Relevance is poor, it is believed that the reliability of related Monitoring Data is not enough；
C), if r all in sequence indicatori jValue be respectively less than given threshold value [r], then it is assumed that bridge structure occur it is different
Often, it is necessary to carry out further detailed inspection.
The specific value of above-mentioned threshold value [r] can be determined by experience and tentative calculation.
Embodiment：By taking certain cable-stayed bridge as an example, the 18 of the cable-stayed bridge are chosen#The Monitoring Data of stay cable force is used as research pair
As, choose the continuous monitoring data of 20 seconds as research duration, Suo Li measurement frequency is 10Hz, for research Suo Li
Monitoring Data is 200.18#Suspension cable monitors rope force value respectively as shown in Figure 2,3, if the individually monitoring of analysis stay cable force
Numerical value, it is impossible to judge whether Monitoring Data is reliable.
Monitoring Data is pre-processed, i.e., all Monitoring Datas subtract the average value of this group of data, obtain two class means
For 0 analyze data sequence.According to formula (1), the Slope correlation of symmetric position cable force monitoring numerical value is calculated, result of calculation is
0.8038, it is as shown in Figure 4 that symmetric position Monitoring Data difference moves situation with time train wave.Rule of thumb and statistical result, tiltedly
The threshold value [r] of the rate degree of association is set as 0.90,18#Cable force monitoring data are unsatisfactory for requiring at number suspension cable symmetric position, respectively
Choose 17#With 19#Suspension cable and 18#Corresponding deflection monitoring data at suspension cable, calculate the slope of Monitoring Data at above-mentioned position
The degree of association, to verify whether to be textural anomaly so that difference occurs in various respond at cable-stayed bridge symmetric position.According to above-mentioned steps,
Monitoring Data is pre-processed first, then according to formula (1) the slope calculations degree of association, 17#Stay cable force, 19#Inclined cable
Power and 18#The Slope correlation of suspension cable correspondence position amount of deflection is respectively 0.9782,0.9377 and 0.9761, is satisfied by slope pass
The requirement of the threshold value r of connection degree >=[r]=0.90, each Monitoring Data difference to shown in such as Fig. 5, Fig. 6 and Fig. 7.According to formula
(2) sequence indicator of Slope correlation can, be obtainedBy sequence indicatorCan
Know, except 18#Outside stay cable force, each symmetric position Monitoring Data has very high similitude, can exclude textural anomaly and draw
Play 18#Suspension cable symmetric position responds the possibility for difference occur, you can think 18#Suspension cable symmetric position cable force monitoring numerical value
Reliability it is not enough.
Technological means disclosed in the present invention program is not limited only to the technological means disclosed in above-mentioned embodiment, in addition to
Constituted technical scheme is combined by above technical characteristic.
Claims (2)
1. a kind of verification method of bridge monitoring data reliability, it is characterised in that choose bridge symmetric position point different type
The adjacent position same type sensor of sensor and symmetric position point, first extracts the bridge symmetric position of continuous fixed duration
The Monitoring Data of point, is pre-processed to Monitoring Data, obtains two groups of Monitoring Datas that average is 0；Calculate two groups of Monitoring Datas
Similarity, the reliability of Monitoring Data is judged according to similarity.
2. the verification method of a kind of bridge monitoring data reliability according to claim 1, it is characterised in that including as follows
Specific steps：
1) Monitoring Data of symmetric position point, is chosen, according to the symmetry of bridge, the symmetric position of continuous fixed duration is extracted
Similar Monitoring Data；
2), the Monitoring Data to selection is pre-processed, and the average value of all Monitoring Datas in fixed duration is calculated, with actual measurement
Monitoring Data subtracts average, obtains the data that a class mean is 0；
3), the similitude to symmetric position Monitoring Data is estimated, and symmetrical position is assessed using slope grey Relational Analysis Method
The uniformity that Monitoring Data changes over time trend is put, slope grey relational grade disclosure satisfy that the order-preserving after beam just unitized processing
Effect, equalization, first value will not change grey relational grade sequence collection, and the calculation formula of Slope correlation is
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In formula, N is the Monitoring Data quantity in continuous fixed duration；WithIt is respectively symmetrical
Monitoring Data at position 1 and symmetric position 2；WithIt is the adjacent moment monitoring at symmetric position 1 and symmetric position 2
Data difference, is represented byWith
4), required if calculating obtained similarity indices and meeting, then it is assumed that the Monitoring Data of analysis has higher reliability；
5), it is unsatisfactory for requiring if calculating obtained similarity indices, same position dissimilar sensor n groups is chosen respectively, it is right
Claim position monitoring data and the m group symmetric position Monitoring Datas of adjacent position same type sensor, data are carried out successively and are located in advance
The calculating of reason and similarity indices, formation sequence index
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In formula, ri jFor the degree of association of two groups of Monitoring Datas of symmetric position, wherein i represents different positions, and j represents different types of
Sensor,
A), if any r in sequence indicatori jIt is unsatisfactory for the requirement of similitude, then it is assumed that bridge structure occurs abnormal, it is necessary to carry out
Special examined,
B), if there is r in sequence indicatori jMeet the requirement of similitude, then it is assumed that the Monitoring Data relevance of the symmetric position compared with
Difference, it is believed that the reliability of related Monitoring Data is not enough.
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| CN108168806A (en) * | 2017-12-15 | 2018-06-15 | 中交基础设施养护集团有限公司 | A kind of bridge security comprehensive analysis method based on multi-parameter monitoring data |
| CN108458846A (en) * | 2018-04-08 | 2018-08-28 | 李国栋 | A kind of computational methods, the device and system of girder structure amount of deflection |
| CN112781701A (en) * | 2020-12-30 | 2021-05-11 | 北京万集科技股份有限公司 | Method and system for carrying out reliability scoring on weighing information |
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| CN108168806A (en) * | 2017-12-15 | 2018-06-15 | 中交基础设施养护集团有限公司 | A kind of bridge security comprehensive analysis method based on multi-parameter monitoring data |
| CN108458846A (en) * | 2018-04-08 | 2018-08-28 | 李国栋 | A kind of computational methods, the device and system of girder structure amount of deflection |
| CN112781701A (en) * | 2020-12-30 | 2021-05-11 | 北京万集科技股份有限公司 | Method and system for carrying out reliability scoring on weighing information |
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