CN110263386A - A kind of optimized treatment method based on Beidou bridge monitoring data - Google Patents
A kind of optimized treatment method based on Beidou bridge monitoring data Download PDFInfo
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- CN110263386A CN110263386A CN201910453112.5A CN201910453112A CN110263386A CN 110263386 A CN110263386 A CN 110263386A CN 201910453112 A CN201910453112 A CN 201910453112A CN 110263386 A CN110263386 A CN 110263386A
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Abstract
The invention belongs to data monitoring technical fields, disclose a kind of optimization processing based on Beidou bridge monitoring data, comprising: acquire data according to special time period and no specific time section acquisition data are shunted；Special time period acquisition data are subjected to threshold value screening, the data without departing from given threshold are stored for use, will exceed the data of given threshold compared with the early warning value of setting；The comparison result of early warning value based on the data beyond given threshold and setting, determines bridge damnification type；The corresponding relationship of the bridge damnification type Yu the data beyond given threshold is established, the diagnostic model of in jured kind and reason is formed；According to the comparison result, the authenticity and real causes of bridge damnification type described in screening, and screening conclusion is updated into the diagnostic model.Method provided by the invention can sufficiently reduce duplicate message, redundancy, and the accounting of daily information promotes the accounting of valid data.
Description
Technical field
The present invention relates to data monitoring technical field, in particular to a kind of optimization processing based on Beidou bridge monitoring data
Method.
Background technique
The acquisition system that overwhelming majority structure safety is followed with monitoring early warning and safety system at present is to acquire in real time, in this way
Obtained data volume maximizes, and information content is also most, but accompanying problem is that data volume is too many, so that without foot
Enough human resources carry out processing analysis, and there are many duplicate redundancy in obtained information.Such case makes
Important information does not protrude, and causes it to fall into oblivion in numerous huge information, causes the bright problem that confeuses the parimary with secondary, it is easy to make
Important information is missed, and brings great trouble to the monitoring early warning and safety of structure.Therefore, it is necessary to a kind of optimization of collection sides
Method reduces repeatability, data of redundancy, routine to collect significant data as far as possible.
Summary of the invention
The present invention provides a kind of optimized treatment method based on Beidou bridge monitoring data, solves structure in the prior art and pacifies
Redundancy is acquired with security monitoring data entirely, repeatability is big, causes to confeuse the parimary with secondary, the technical problem that important information does not protrude.
In order to solve the above technical problems, the present invention provides a kind of optimization processing sides based on Beidou bridge monitoring data
Method, comprising:
Data are acquired according to special time period and no specific time section acquisition data are shunted；
Special time period acquisition data are subjected to threshold value screening, the data without departing from given threshold are stored for use, will be surpassed
The data of given threshold are compared with the early warning value of setting out；
The comparison result of early warning value based on the data beyond given threshold and setting, determines bridge damnification type；
Establish the corresponding relationship of the bridge damnification type Yu the data beyond given threshold, formed in jured kind and
The diagnostic model of reason；
According to the comparison result, the authenticity and real causes of bridge damnification type described in screening, and by screening conclusion
It updates in the diagnostic model.
Further, the determination method of the special time period includes:
The peak period of vehicle flowrate is determined according to bridge day information of vehicle flowrate, and special time period is being arranged inside；
Alternatively, according to data sampling bridge week is persistently carried out in the special time period and year vehicle flowrate peak period information is drawn
Regression curve processed, and the special time period is predicted based on the regression curve；
Alternatively, using the period beyond setting value in the real-time traffic flow amount of Beidou satellite navigation monitoring as special time period.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
The optimized treatment method based on Beidou bridge monitoring data provided in the embodiment of the present application, is set using data-optimized
It sets, chooses special time period and carry out data distribution, special time period sampled data enters threshold value comparison, whether examines bridge data
More than threshold value, selection enters the early warning and assessment of security system, carries out classification alarm.According to the data of optimization processing, detection system
System received signal, the self diagnosis of strengthen the system judge whether system communication and equipment are normal, react on acquisition system, will
The data of optimization processing carry out diagnosis with the system failure and contact, and increase the value of on-line detecting system.The concentration of data is used
Optimization method is conducive to the early warning and assessment of structure security system so that the useful data of acquisition is more accurate, is more advantageous to and is
The self diagnosis of system reduces the difficulty manually debugged, increases the value of on-line monitoring system.
Specific embodiment
The embodiment of the present application solves existing skill by providing a kind of optimized treatment method based on Beidou bridge monitoring data
Structure safety and security monitoring data acquire redundancy in art, and repeatability is big, cause to confeuse the parimary with secondary, important information technology not outstanding
Problem.
In order to better understand the above technical scheme, below in conjunction with specification and specific embodiment to above-mentioned skill
Art scheme is described in detail, it should be understood that the specific features in the embodiment of the present invention and embodiment are to present techniques side
The detailed description of case, rather than the restriction to technical scheme, in the absence of conflict, the embodiment of the present application and
Technical characteristic in embodiment can be combined with each other.
A kind of optimized treatment method based on Beidou bridge monitoring data, comprising:
Data are acquired according to special time period and no specific time section acquisition data are shunted；
Special time period acquisition data are subjected to threshold value screening, the data without departing from given threshold are stored for use, will be surpassed
The data of given threshold are compared with the early warning value of setting out；
The comparison result of early warning value based on the data beyond given threshold and setting, determines bridge damnification type；
Establish the corresponding relationship of the bridge damnification type Yu the data beyond given threshold, formed in jured kind and
The diagnostic model of reason；
According to the comparison result, the authenticity and real causes of bridge damnification type described in screening, and by screening conclusion
It updates in the diagnostic model.
Further, the determination method of the special time period includes:
The peak period of vehicle flowrate is determined according to bridge day information of vehicle flowrate, and special time period is being arranged inside；
Alternatively, according to data sampling bridge week is persistently carried out in the special time period and year vehicle flowrate peak period information is drawn
Regression curve processed, and the special time period is predicted based on the regression curve；
Alternatively, using the period beyond setting value in the real-time traffic flow amount of Beidou satellite navigation monitoring as special time period.
Specifically.
Acquisition data enter bridge safety supervision system, and programming makes system check data, screen out no specific time section
Acquisition data distribution into another system store, as storage data it is spare, establish bridge long term data accumulation platform,
Data, the bearing capacity data etc. of daily monitoring report are brought into platform, an abundant, comprehensive data monitoring system is retained
System grasps the realtime running condition of Baisha Zhen bridge as the preliminary data of research Baishazhou Bridge Structure deformation in the future comprehensively
And the trend of crossstructure degenerate state.
Data monitoring system is input to data-optimized system by data distribution, by the data for belonging to acquisition time section of fixing time
System, storing data while, enter data and analyze and determine program, judge whether data are more than threshold value, if being less than, are then shunted
It is spare into data-storage system, if being more than threshold value, then it is further separated into localization value acquisition subprogram, according to established classification
Early warning mechanism realizes bridge structural damage identification by the analysis of a large amount of characteristic value and real-time data collection, and establishes practical three
Grade early warning system.When the bridge data monitored is more than a certain grade early warning value, system can carry out corresponding pre- automatically
Alarm, and information is pass in time using various ways and gives related management personnel, notify related personnel to take certain safety control
Measure processed avoids the generation of serious accident.
Will likely damage and corresponding data variation relationship arrangement be input to data-optimized systems, then reach pre- in data
When alert condition, alarm signal is on the one hand issued, on the other hand can estimate type of impairment and reason in advance, handles number for related personnel
According to making certain judgment basis.Meanwhile after related personnel handles damaged wound, by the true specific damage class of confirmed mistake
Type and reason reverse pumping enter data-optimized systems preservation, and one of the database as system self diagnosis is the on-line monitoring of system
Foundation more than offer etc..
After data-optimized processing, two-dimensional vector is provided with three-dimensional and shows the data distribution system combined, system is built
Cheng Hou, it will thus provide different data visualization exhibition methods not only realizes that bridge multi-angle of view is layouted two-dimensional vector display diagram, simultaneously
Baishazhou bridge safety monitoring system three-dimensional is supported to show, according to bridge day-to-day operation load and deformation, true reflection prison
Survey state, bandwagon effect is intuitive, forms good visual experience, thus the more convenient operating status for more intuitively showing bridge and
Safety.
According to the transit information that Department of Communications provides, judgement passes through the vehicle flowrate peak period of Baishazhou bridge daily, on peak
The particular sample time was set in the phase, carries out the data sampling in specific time incessantly, meanwhile, according to material computation weekly,
Vehicle flowrate peak period monthly draws regression curve and predicts the specific sampling time, optimizes the setting in sampling time.
The real-time traffic flow amount for passing through Baishazhou bridge according to Beidou satellite navigation monitoring, is calculated relatively by computing system
The vehicle flowrate biggish period, it is set as the specific sampling time, carries out the acquisition of bridge data.
The determination method of threshold value of warning
Recent Temp Threshold determines
At detection initial stage, according to the recent deformation monitoring data of structure, preresearch estimates Beidou deformation monitoring indices
Safe early warning threshold value.In the present circumstance, according to the existing deformation monitoring data of structure, the bridge floor line near each monitoring point is analyzed
Shape observed result analyzes its minimum and maximum deflection, and in this, as the formulation foundation of threshold reference.
Long term monitoring threshold value determines
After project operation 1 year and the later operation phase monitors in each operation time all in accordance with each Beidou
The threshold value of warning initial value of point past 1 year monitoring data measured value and project initial setting, weighted average calculation obtain Beidou prison
The new value of measuring point threshold value of warning.By above method, continues to optimize and restrain threshold value of warning, and consider thresholds according to the different of season
The variation of value, so that the truth that threshold value of warning is more safely operated close to structure, ensures structure operational safety.
Threshold value setting
Many condition triggering sampling parameter has the setting of the trigger value in triggering logic and each channel, and user can as needed herein
It is configured.Triggering logic is the triggering relationship between each trigger port of setting, as long as "or" indicates that the trigger port of setting has
One reaches activation threshold value and just carries out triggering sampling, adopts until the time span of setting；"AND" indicates the trigger port of setting
Activation threshold value must all be reached and just carry out triggering sampling.
Forewarning management
Under the setting of data with existing optimization processing, system defines three-level alarm level, is successively from high to low: level-one is accused
Alert, second level alarm, three-level alarm.The function self-setting alarm threshold can be used in user.
System monitors the information such as position according to alarm level, customizes warning information template.Utilize short message, Email, micro-
Structure warning information is sent to specified crowd and related functional department by one or more of alarm notification modes such as letter.In addition, being
System also supports that timing pushes bridge real-time deformation information, convenient for responsible institution in spy when extreme weather and special event occur
The different period understands bridge state in time.
System can configure the threshold value of multiple and different grades for each monitoring point, deform for system energy automatic capture crossstructure
Data comparison foundation is provided.
The warning information of system automatic capture is ranked up according to alarm time, alarm level, alarm position.When alarm
Between arranged in a manner of inverted order；Alarm level to arrange from high to low.Warning information is classified according to the height of alarm level to be issued.Three
Grade alarm can be automatically released to specified crowd by specified notification mode through system automatically.Level-one and second level warning information need artificial
Determine after verifying, specified crowd could be automatically released to by specified notification mode.
The warning information issued can release current early warning alert after needing manual entry maintenance suggestion and measure.
System autodiagnosis
Current on-line monitoring technique is widely applied in every profession and trade, and the market demand increases year by year, does in industry at present
The producer of on-line monitoring system cannot achieve system fault diagnosis function, and after system breaks down, Check System is more bitter
Difficulty, can not timely debug reason, and system is caused to be difficult to restore to operate normally, to lose the valence of system on-line monitoring
Value.
If system is able to achieve self-diagnostic function, when system jam, it can be diagnosed to be failsafe link, prompt how this solves
Except the certain methods of failure, it can be significantly reduced workload, improve monitoring efficiency, by effective skill for pushing on-line monitoring industry
Art development, while being of great significance to the development of monitoring industry.
Amplitude diagnosis: when the input source (signal) received exceeds defined numberical range, self-diagnosable system confirms that this is defeated
Entering source (signal), there are failures.
Sequential diagnosis: when there is no variations, or variation not to have within the regular hour for a certain input source (signal) of discovery
When reaching prespecified number, self-diagnosable system determines that the signal breaks down.
Functional diagnosis: after issuing instruction, the output parameter variation of respective sensor is detected, if sensor output signal does not have
There is the Parameters variation according to procedure stipulation, it is confirmed that actuator or circuit break down.
Logistic diagnosis: to two/it is multiple carry out data comparison with the sensor that connects each other, when finding two sensors
When logical relation between signal violates setting condition, it is judged as faulty.
The present invention establishes efficient data management platform, uses using Beidou real-time detection acquisition data
Data-optimized setting chooses timing section sampled data and enters threshold acquisition subprogram, examines whether bridge data is more than threshold value, choosing
The early warning and assessment into security system are selected, classification alarm is carried out.According to the processing of inspection optimization data, monitors and report bridge
Environment, bridge under various load actions the structural response situation of main member and realize unusual condition under (including monitoring from
Right load, traffic loading and all kinds of structural responses transfinite) early warning, and can analysis report bridge main member bearing capacity,
It assesses that bridge is whole and its safe and reliable degree of each main member, and is mentioned to the determination of bridge maintenance and maintenance management measure
For technical support.According to the data of optimization processing, detection system received signal, the self diagnosis of strengthen the system judges that system is logical
Whether news and equipment are normal, react on acquisition system, and the data of optimization processing are carried out diagnosis with the system failure and are contacted, are increased
The value of on-line detecting system.
One or more technical solutions provided in the embodiments of the present application have at least the following technical effects or advantages:
The optimized treatment method based on Beidou bridge monitoring data provided in the embodiment of the present application, is set using data-optimized
It sets, chooses special time period and carry out data distribution, special time period sampled data enters threshold value comparison, whether examines bridge data
More than threshold value, selection enters the early warning and assessment of security system, carries out classification alarm.According to the data of optimization processing, detection system
System received signal, the self diagnosis of strengthen the system judge whether system communication and equipment are normal, react on acquisition system, will
The data of optimization processing carry out diagnosis with the system failure and contact, and increase the value of on-line detecting system.The concentration of data is used
Optimization method is conducive to the early warning and assessment of structure security system so that the useful data of acquisition is more accurate, is more advantageous to and is
The self diagnosis of system reduces the difficulty manually debugged, increases the value of on-line monitoring system.
It should be noted last that the above specific embodiment is only used to illustrate the technical scheme of the present invention and not to limit it,
Although being described the invention in detail referring to example, those skilled in the art should understand that, it can be to the present invention
Technical solution be modified or replaced equivalently, without departing from the spirit and scope of the technical solution of the present invention, should all cover
In the scope of the claims of the present invention.
Claims (2)
1. a kind of optimized treatment method based on Beidou bridge monitoring data characterized by comprising
Data are acquired according to special time period and no specific time section acquisition data are shunted；
Special time period acquisition data are subjected to threshold value screening, the data without departing from given threshold are stored for use, will exceed and set
The data of threshold value are determined compared with the early warning value of setting；
The comparison result of early warning value based on the data beyond given threshold and setting, determines bridge damnification type；
The corresponding relationship of the bridge damnification type Yu the data beyond given threshold is established, in jured kind and reason are formed
Diagnostic model；
According to the comparison result, the authenticity and real causes of bridge damnification type described in screening, and screening conclusion is updated
Into the diagnostic model.
2. the optimized treatment method as described in claim 1 based on Beidou bridge monitoring data, which is characterized in that described specific
The determination method of period includes:
The peak period of vehicle flowrate is determined according to bridge day information of vehicle flowrate, and special time period is being arranged inside；
Alternatively, according to data sampling bridge week is persistently carried out in the special time period and year vehicle flowrate peak period information is drawn back
Return curve, and the special time period is predicted based on the regression curve；
Alternatively, using the period beyond setting value in the real-time traffic flow amount of Beidou satellite navigation monitoring as special time period.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115638833A (en) * | 2022-12-23 | 2023-01-24 | 保定网城软件股份有限公司 | Monitoring data processing method and system |
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