CN106840497B - Bridge cable pulling force recognition methods - Google Patents
Bridge cable pulling force recognition methods Download PDFInfo
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- CN106840497B CN106840497B CN201611267683.2A CN201611267683A CN106840497B CN 106840497 B CN106840497 B CN 106840497B CN 201611267683 A CN201611267683 A CN 201611267683A CN 106840497 B CN106840497 B CN 106840497B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01L—MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
- G01L5/00—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
- G01L5/04—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands
- G01L5/042—Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes for measuring tension in flexible members, e.g. ropes, cables, wires, threads, belts or bands by measuring vibrational characteristics of the flexible member
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- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
Abstract
The invention proposes bridge cable pulling force recognition methods, comprising: obtains original signal data, carries out linear fit processing to original signal data, data carry out Fourier transformation by treated；Data combination mode of oscillation carries out frequency spectrum subregion after choosing Fourier transformation, obtains the correspondence order frequency of drag-line；According to the correspondence order frequency of drag-line, linear regression processing, definitive result are carried out.After acquisition original signal data, the mode for being handled using volume of data processing mode it, and combining frequency spectrum subregion, obtaining the corresponding order frequency of subregion determines the Suo Li estimated value of cable tension after carrying out linear regression based on multistage frequency.Estimated by using multistage frequency, is eliminated due to the unexcited either damper installation site of drag-line rank vibration improper the problem of causing, to obtain reliable Suo Li estimated value.
Description
Technical field
The invention belongs to field of electrical equipment, the in particular to recognition methods of bridge cable pulling force.
Background technique
Traditional bridge cable tension identification relies primarily on acquisition system acquisition initial data, then carries out frequency to initial data
Spectrum analysis removes identification spectrogram by human eye to obtain the fundamental frequency of bridge cable, then calculates the drawing of bridge cable by formula
Power.Such method is all insufficient in terms of efficiency and accuracy, and the case where will appear erroneous judgement, more problems, especially
It is the bridge many for drag-line, the time is a very big problem.
Summary of the invention
In order to solve shortcoming and defect existing in the prior art, the present invention provides the bridges for reducing probability of miscarriage of justice
Cable tension recognition methods.
In order to reach above-mentioned technical purpose, the present invention provides bridge cable pulling force recognition methods, the recognition methods, packets
It includes:
Step 1 obtains original signal data, carries out linear fit processing to original signal data, will treated data
Carry out Fourier transformation；
Step 2, the frequency peak f after choosing Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency knot
Close frequency peak fmaxThe corresponding k order frequency of frequency peak is calculated, then calculates practical fundamental frequency value, is carried out according to mode of oscillation
Frequency spectrum subregion obtains the corresponding N order frequency of practical drag-line；
Step 3 carries out linear regression processing according to the corresponding N order frequency of drag-line, and the slope C for obtaining regression straight line is (real
Border fundamental frequency), determine Suo Li estimated value T.
Optionally, in said step 1, further includes:
Between linear fit processing and the Fourier transformation, to treated, data are carried out at high-pass filtering
Reason.
Optionally, the frequency peak f chosen after Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical base
Frequency combines frequency peak fmaxCalculate the corresponding k order frequency of frequency peak, comprising:
The fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, T0It is the quality of drag-line line for the design Suo Li, m of drag-line；
The n order frequency of drag-line is determined according to formula two
Wherein, fnFor drag-line n-th order vibration frequency, L is guy cable length, and T is drag-line power, and m is the line mass of drag-line；
Frequency peak f is calculated according to formula threemaxCorresponding inhaul cable vibration mode k
Optionally, described that frequency spectrum subregion is carried out according to mode of oscillation, obtain the correspondence order frequency of drag-line, comprising:
The inhaul cable vibration mode k got is rounded to obtain [k], fundamental frequency correction value is obtained according to formula four
According to obtained fundamental frequency correction valueFrequency spectrum is divided into section N is positive integer；
The corresponding frequency of frequency spectrum maximum point in each section is obtained, the correspondence order frequency of drag-line is obtained
f1、f2、f3、f4、f5、····fn, n is positive integer.
Optionally, the step 3, comprising:
According to the correspondence order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, according to formula
Five obtain the slope C of regression straight line
In conjunction with the slope C of regression straight line, Suo Li estimated value T is obtained according to formula six
T=m (2LC)2Formula six.
Technical solution provided by the invention has the benefit that
After acquisition original signal data, it is handled using volume of data processing mode, and combines frequency
The mode composed subregion, obtain the corresponding order frequency of subregion, determines cable tension based on multistage frequency after carrying out linear regression
Suo Li estimated value.Estimated by using multistage frequency, is eliminated since the vibration of the drag-line rank is unexcited either
Damper installation site improper the problem of causing, to obtain reliable Suo Li estimated value.
Detailed description of the invention
It, below will be to attached drawing needed in embodiment description in order to illustrate more clearly of technical solution of the present invention
It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram of bridge cable pulling force recognition methods provided by the invention.
Specific embodiment
To keep structure and advantage of the invention clearer, structure of the invention is made further below in conjunction with attached drawing
Description.
Embodiment one
The present invention provides bridge cable pulling force recognition methods, as shown in Figure 1, the recognition methods, comprising:
Step 1 obtains original signal data, carries out linear fit processing to original signal data, will treated data
Carry out Fourier transformation；
Step 2, the frequency peak f after choosing Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency knot
Close frequency peak fmaxThe corresponding k order frequency of frequency peak is calculated, then calculates practical fundamental frequency value, is carried out according to mode of oscillation
Frequency spectrum subregion obtains the corresponding N order frequency of practical drag-line；
Step 3 carries out linear regression processing according to the corresponding N order frequency of drag-line, and the slope C for obtaining regression straight line is (real
Border fundamental frequency), determine Suo Li estimated value T.
In an implementation, compared with the existing technology in naked eyes identification spectrogram obtain drag-line fundamental frequency, and then combine formula
The method for calculating bridge cable pulling force uses volume of data processing mode the invention proposes after acquisition original signal data
The mode for handling it, and combining frequency spectrum subregion, obtaining the corresponding order frequency of subregion, is based on after carrying out linear regression
Multistage frequency determines the Suo Li estimated value of cable tension.
Specifically, the recognition methods is divided into three steps.
In step 1, linear fit processing is carried out to the original signal data got, to remove becoming in signal
Gesture item；And then data carry out Fourier transformation to treated.
In view of that there may be the qualities of data is very poor, can impact to subsequent result for the original signal data of step 1
Situation, it is also an option that the addition of property carries out high-pass filtering to linear fit treated data processes in step 1
Journey.
Frequency peak f in step 2, after choosing Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical base
Frequency combines frequency peak fmaxCalculate the corresponding k order frequency of frequency peak.
Reference quantity as characterization inhaul cable vibration feature needs to be implemented following steps to obtain mode of oscillation k:
201, the fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, should be rope anchor point spacing for accurate, referring to Bridge Design drawing.T0For drag-line
Design Suo Li, only need to using design value as reference；M is the quality of drag-line line；
202, the n order frequency of drag-line is determined according to formula two
Wherein, fnFor drag-line n-th order vibration frequency, L is guy cable length, and T is drag-line power, and m is the line mass of drag-line；
203, frequency peak f is calculated according to formula threemaxCorresponding inhaul cable vibration mode k
After getting inhaul cable vibration mode k, frequency spectrum subregion is carried out according to mode of oscillation, obtains the correspondence rank frequency of drag-line
Rate specifically includes:
301, the inhaul cable vibration mode k got is rounded to obtain [k], fundamental frequency correction value is obtained according to formula four
302, according to obtained fundamental frequency correction valueFrequency spectrum is divided into section N is positive integer；
303, the corresponding frequency of frequency spectrum maximum point in each section is obtained, the correspondence order frequency of drag-line is obtained
f1、f2、f3、f4、f5、····fn, n is positive integer.
Here the correspondence order frequency of the drag-line obtained can be characterized as the corresponding frequency of spectrum maximum point in each grouping
Frequency situation of change in each grouping, to help to improve the accuracy for calculating rope force value in subsequent processes.
It is specifically included in step 3 in order to obtain rope force value:
401, according to the correspondence order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, according to
The slope C of the acquisition regression straight line of formula five
402, in conjunction with the slope C of regression straight line, Suo Li estimated value T is obtained according to formula six
T=m (2LC)2Formula six.
In above process, estimated using multistage frequency, eliminated since the vibration of the drag-line rank is unexcited
Either damper installation site improper the problem of causing, to obtain reliable Suo Li estimated value.
The invention proposes bridge cable pulling force recognition methods, comprising: original signal data is obtained, to original signal data
Linear fit processing is carried out, data carry out Fourier transformation by treated；Data combine vibration mould after choosing Fourier transformation
State carries out frequency spectrum subregion, obtains the correspondence order frequency of drag-line；According to the correspondence order frequency of drag-line, linear regression processing is carried out, really
Determine result.After acquisition original signal data, it is handled using volume of data processing mode, and combines frequency spectrum
Subregion, the mode for obtaining the corresponding order frequency of subregion, determine the rope of cable tension after carrying out linear regression based on multistage frequency
Power estimated value.Estimated by using multistage frequency, eliminates and either hindered since the vibration of the drag-line rank is unexcited
Buddhist nun's device installation site improper the problem of causing, to obtain reliable Suo Li estimated value.
Each serial number in above-described embodiment is for illustration only, the assembling for not representing each component or the elder generation in use process
Sequence afterwards.
The above description is only an embodiment of the present invention, is not intended to limit the invention, all in the spirit and principles in the present invention
Within, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (5)
1. bridge cable pulling force recognition methods, which is characterized in that the recognition methods, comprising:
Step 1 obtains original signal data, carries out linear fit processing to original signal data, and by treated, data are carried out
Fourier transformation；
Step 2, the frequency peak f after choosing Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency and combines frequency
Rate peak value fmaxThe corresponding k order frequency of frequency peak is calculated, then calculates practical fundamental frequency, frequency spectrum point is carried out according to mode of oscillation
Area obtains the corresponding N order frequency of practical drag-line；
Step 3 carries out linear regression processing, obtains the i.e. practical base of slope C of regression straight line according to the corresponding N order frequency of drag-line
Frequently, Suo Li estimated value T is determined.
2. bridge cable pulling force recognition methods according to claim 1, which is characterized in that in said step 1, also wrap
It includes:
Between linear fit processing and the Fourier transformation, to treated, data carry out high-pass filtering processing.
3. bridge cable pulling force recognition methods according to claim 1, which is characterized in that after the selection Fourier transformation
Frequency peak fmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency combination frequency peak fmaxIt is corresponding to calculate frequency peak
K order frequency, comprising:
The fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, T0For drag-line power, m is the line mass of drag-line；
The n order frequency of drag-line is determined according to formula two
Wherein, fnFor drag-line n-th order vibration frequency, L is guy cable length, and T is drag-line power, and m is the line mass of drag-line；
Frequency peak f is calculated according to formula threemaxCorresponding inhaul cable vibration mode k
4. bridge cable pulling force recognition methods according to claim 3, which is characterized in that described to be carried out according to mode of oscillation
Frequency spectrum subregion obtains the correspondence order frequency of drag-line, comprising:
The inhaul cable vibration mode k got is rounded to obtain [k], fundamental frequency correction value is obtained according to formula four
According to obtained fundamental frequency correction valueFrequency spectrum is divided into section N is positive integer；
The corresponding frequency of frequency spectrum maximum point in each section is obtained, the correspondence order frequency of drag-line is obtained
f1、f2、f3、f4、f5、····fn, n is positive integer.
5. bridge cable pulling force recognition methods according to claim 4, which is characterized in that the step 3, comprising:
According to the correspondence order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, regression straight line is obtained
Slope C；
In conjunction with the slope C of regression straight line, according to T=m (2LC)2Obtain Suo Li estimated value T.
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| CN107271095A (en) * | 2017-07-24 | 2017-10-20 | 湖南镭氪信息科技有限公司 | A kind of Suo Li remote sensing survey methods based on microwave interference |
| CN108629116B (en) * | 2018-05-04 | 2022-03-25 | 哈尔滨开博科技有限公司 | Linear model cable force measuring method based on parameter transmission |
| CN108871645B (en) * | 2018-05-04 | 2020-02-18 | 哈尔滨开博科技有限公司 | Inhaul cable force measuring method based on linear model coefficient transmission |
| CN109371837B (en) * | 2018-11-02 | 2023-08-18 | 中铁大桥科学研究院有限公司 | Stay cable damper capable of testing cable force |
| CN110333506B (en) * | 2019-06-12 | 2021-05-18 | 中铁大桥科学研究院有限公司 | Method for extracting inhaul cable position parameters of cable force measurement radar |
| CN110470422B (en) * | 2019-08-22 | 2020-11-17 | 中铁桥隧技术有限公司 | Fundamental frequency optimization method based on inhaul cable vibration spectrum analysis |
| CN111928890B (en) * | 2020-07-14 | 2022-04-05 | 宁波大学 | Method for measuring self-vibration frequency and cable force of inhaul cable in real time |
| CN112100713B (en) * | 2020-08-18 | 2022-11-01 | 东南大学 | Cable force automatic identification method based on variable-pitch grid |
| CN114459596B (en) * | 2022-02-11 | 2022-08-02 | 中冶建筑研究总院有限公司 | Comprehensive cable frequency self-verification analysis method based on power test |
| CN114398712B (en) * | 2022-03-25 | 2022-07-01 | 西南交通大学 | Method, device and equipment for calculating real-time cable force of stay cable and readable storage medium |
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