CN106840497A - Bridge cable pulling force recognition methods - Google Patents

Bridge cable pulling force recognition methods Download PDF

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Publication number
CN106840497A
CN106840497A CN201611267683.2A CN201611267683A CN106840497A CN 106840497 A CN106840497 A CN 106840497A CN 201611267683 A CN201611267683 A CN 201611267683A CN 106840497 A CN106840497 A CN 106840497A
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China
Prior art keywords
line
frequency
drag
carried out
recognition methods
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CN201611267683.2A
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CN106840497B (en
Inventor
沈烨斌
周骏
董杰
周国辉
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JIAXING NAJIE MICROELECTRONIC TECHNOLOGY Co Ltd
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JIAXING NAJIE MICROELECTRONIC TECHNOLOGY Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01LMEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER, MECHANICAL EFFICIENCY, OR FLUID PRESSURE
    • G01L5/00Apparatus for, or methods of, measuring force, work, mechanical power, or torque, specially adapted for specific purposes
    • G01L5/04Apparatus 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
    • G01L5/042Apparatus 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

Abstract

The present invention proposes bridge cable pulling force recognition methods, including:Original signal data is obtained, linear fit treatment is carried out to original signal data, the data after treatment are carried out into Fourier transformation;Data combination mode of oscillation carries out frequency spectrum subregion after choosing Fourier transformation, obtains the corresponding order frequency of drag-line;According to the corresponding order frequency of drag-line, linear regression processing is carried out, determine result.After gathering original signal data, it is processed using volume of data processing mode, and combine frequency spectrum subregion, obtain the mode of the corresponding order frequency of subregion, determine the Suo Li estimates of cable tension based on many order frequencies after linear regression is carried out.Estimated by using many order frequencies, eliminated due to the drag-line rank vibration improper problem for causing of unexcited or damper installation site, so as to obtain reliable Suo Li estimates.

Description

Bridge cable pulling force recognition methods
Technical field
The invention belongs to field of electrical equipment, the more particularly to recognition methods of bridge cable pulling force.
Background technology
Traditional bridge cable tension identification relies primarily on acquisition system collection initial data, then enters line frequency to initial data Analysis of spectrum, goes to recognize fundamental frequency of the spectrogram to obtain bridge cable, then the drawing for calculating bridge cable by formula by human eye Power.Such method is all not enough in terms of efficiency and the degree of accuracy, and the situation of erroneous judgement occurs, more problems, especially It is the bridges many for drag-line, the time is a very big problem.
The content of the invention
In order to solve shortcoming and defect present in prior art, the invention provides the bridge for reducing probability of miscarriage of justice Cable tension recognition methods.
In order to reach above-mentioned technical purpose, the invention provides bridge cable pulling force recognition methods, the recognition methods, bag Include:
Step one, obtains original signal data, linear fit treatment is carried out to original signal data, by the data after treatment Carry out Fourier transformation;
Step 2, chooses the frequency peak f after Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency knot Close frequency peak fmaxThe corresponding k order frequencies of frequency peak are calculated, then calculates actual fundamental frequency value, carried out according to mode of oscillation Frequency spectrum subregion, obtains the corresponding N order frequencies of actual drag-line;
Step 3, according to the corresponding N order frequencies of drag-line, carries out linear regression processing, and the slope C for obtaining regression straight line is (real Border fundamental frequency), determine Suo Li estimates T.
Optionally, in the step one, also include:
Between linear fit treatment and the Fourier transformation, the data after treatment 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 fmaxThe corresponding k order frequencies of frequency peak are calculated, including:
The fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, T0For the design Suo Li, m of drag-line are the quality of drag-line line;
The n order frequencies of drag-line are determined according to formula two
Wherein, fnIt is drag-line ^ rank vibration frequencies, L is guy cable length, and 5 is drag-line power,It is the line mass of drag-line;
Frequency peak f is calculated according to formula threemaxCorresponding inhaul cable vibration mode k
Optionally, it is described that frequency spectrum subregion is carried out according to mode of oscillation, the corresponding order frequency of drag-line is obtained, including:
Inhaul cable vibration mode k to getting is rounded and is obtained [k], and fundamental frequency correction value is obtained according to formula four
According to the fundamental frequency correction value for obtainingFrequency spectrum is divided into interval N is positive integer;
The corresponding frequency of each interval intermediate frequency spectrum maximum point is obtained, the corresponding order frequency of drag-line is obtained
f1、f2、f3、f4、f5、····fn, n is positive integer.
Optionally, the step 3, including:
According to the corresponding order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, according to formula The five slope C for obtaining regression straight line
With reference to the slope C of regression straight line, Suo Li estimates T is obtained according to formula six
T=m (2LC)2Formula six.
The beneficial effect brought of technical scheme that the present invention is provided is:
After gathering original signal data, it is processed using volume of data processing mode, and combine frequency Spectrum subregion, the mode for obtaining the corresponding order frequency of subregion, cable tension is determined after linear regression is carried out based on many order frequencies Suo Li estimates.Estimated by using many order frequencies, eliminate because drag-line rank vibration is unexcited or The improper problem for causing of damper installation site, so as to obtain reliable Suo Li estimates.
Brief description of the drawings
In order to illustrate more clearly of technical scheme, embodiment will be described below needed for the accompanying drawing to be used It is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, general for this area For logical technical staff, on the premise of not paying creative work, other accompanying drawings can also be obtained according to these accompanying drawings.
Fig. 1 is the schematic flow sheet of the bridge cable pulling force recognition methods that the present invention is provided.
Specific embodiment
To make structure of the invention and advantage clearer, structure of the invention is made further below in conjunction with accompanying drawing Description.
Embodiment one
The invention provides bridge cable pulling force recognition methods, as shown in figure 1, the recognition methods, including:
Step one, obtains original signal data, linear fit treatment is carried out to original signal data, by the data after treatment Carry out Fourier transformation;
Step 2, chooses the frequency peak f after Fourier transformationmax, the calculation of design parameters of structure is gone out into theoretical fundamental frequency knot Close frequency peak fmaxThe corresponding k order frequencies of frequency peak are calculated, then calculates actual fundamental frequency value, carried out according to mode of oscillation Frequency spectrum subregion, obtains the corresponding N order frequencies of actual drag-line;
Step 3, according to the corresponding N order frequencies of drag-line, carries out linear regression processing, and the slope C for obtaining regression straight line is (real Border fundamental frequency), determine Suo Li estimates T.
In force, the fundamental frequency of drag-line is obtained relative to naked eyes of the prior art identification spectrogram, and then combines formula The method for calculating bridge cable pulling force, after the present invention proposes collection original signal data, uses volume of data processing mode It is processed, and combined frequency spectrum subregion, obtained the mode of the corresponding order frequency of subregion, be based on after linear regression is carried out Many order frequencies determine the Suo Li estimates of cable tension.
Specifically, the recognition methods is divided into three steps.
In step one, the original signal data to getting carries out linear fit treatment, to remove becoming in signal Gesture;And then Fourier transformation is carried out to the data after treatment.
Original signal data in view of step one there may be quality of data extreme difference, subsequent result can be impacted Situation, it is also an option that the addition of property carries out the treated of high-pass filtering to the data after linear fit treatment in step one Journey.
In step 2, the frequency peak f after Fourier transformation is chosenmax, the calculation of design parameters of structure is gone out into theoretical base Frequency combines frequency peak fmaxCalculate the corresponding k order frequencies of frequency peak.
As the reference quantity for characterizing inhaul cable vibration feature, in order to obtain mode of oscillation k, it is necessary to perform following steps:
201st, the fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, it is accurate for should be rope anchor point spacing, referring to Bridge Design drawing.T0It is drag-line Design Suo Li, only need to using design load as reference;M is the quality of drag-line line;
202nd, the n order frequencies of drag-line are determined according to formula two
Wherein, fnIt is drag-line ^ rank vibration frequencies, L is guy cable length, and 5 is drag-line power,It is the line mass of drag-line;
203rd, frequency peak f is calculated according to formula threemaxCorresponding inhaul cable vibration mode k
After inhaul cable vibration mode k is got, frequency spectrum subregion is carried out according to mode of oscillation, obtain the corresponding rank of drag-line frequently Rate, specifically includes:
301st, the inhaul cable vibration mode k for getting is rounded and obtains [k], fundamental frequency correction value is obtained according to formula four
302nd, according to the fundamental frequency correction value for obtainingFrequency spectrum is divided into interval N is positive integer;
303rd, the corresponding frequency of each interval intermediate frequency spectrum maximum point is obtained, the corresponding order frequency of drag-line is obtained
f1、f2、f3、f4、f5、····fn, n is positive integer.
The corresponding order frequency of the drag-line for obtaining here can be characterized as the corresponding frequency of spectrum maximum point in each packet Frequency situation of change in each packet, the accuracy of rope force value is calculated so as to be favorably improved in subsequent processes.
In step 3, in order to obtain rope force value, specifically include:
401st, according to the corresponding order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, according to Formula five obtains the slope C of regression straight line
402nd, with reference to the slope C of regression straight line, Suo Li estimates T is obtained according to formula six
T=m (2LC)2Formula six.
In above process, estimated using many order frequencies, eliminated because drag-line rank vibration is unexcited Or the improper problem for causing of damper installation site, so as to obtain reliable Suo Li estimates.
The present invention proposes bridge cable pulling force recognition methods, including:Original signal data is obtained, to original signal data Linear fit treatment is carried out, the data after treatment are carried out into Fourier transformation;Data combine vibration mould after choosing Fourier transformation State carries out frequency spectrum subregion, obtains the corresponding order frequency of drag-line;According to the corresponding order frequency of drag-line, linear regression processing is carried out, really Determine result.After gathering original signal data, it is processed using volume of data processing mode, and combine frequency spectrum Subregion, the mode for obtaining the corresponding order frequency of subregion, determine the rope of cable tension after linear regression is carried out based on many order frequencies Power estimate.Estimated by using many order frequencies, eliminated because drag-line rank vibration is unexcited or hinders The improper problem for causing of Buddhist nun's device installation site, so as to obtain reliable Suo Li estimates.
Each sequence number in above-described embodiment is for illustration only, and the elder generation during the assembling or use of each part is not represented Afterwards sequentially.
Embodiments of the invention are the foregoing is only, is not intended to limit the invention, it is all in the spirit and principles in the present invention Within, any modification, equivalent substitution and improvements made etc. should be included within the scope of the present invention.

Claims (5)

1. bridge cable pulling force recognition methods, it is characterised in that the recognition methods, including:
Step one, obtains original signal data, and linear fit treatment is carried out to original signal data, and the data after treatment are carried out Fourier transformation;
Step 2, chooses the frequency peak f after 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 frequencies of frequency peak are calculated, then calculates actual fundamental frequency value, frequency spectrum is carried out according to mode of oscillation Subregion, obtains the corresponding N order frequencies of actual drag-line;
Step 3, according to the corresponding N order frequencies of drag-line, carries out linear regression processing, and the slope C for obtaining regression straight line is actual base Frequently, Suo Li estimates T is determined.
2. bridge cable pulling force recognition methods according to claim 1, it is characterised in that in the step one, also wrap Include:
Between linear fit treatment and the Fourier transformation, high-pass filtering treatment is carried out to the data after treatment.
3. bridge cable pulling force recognition methods according to claim 1, it is characterised 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 fmaxCalculate frequency peak correspondence K order frequencies, including:
The fundamental frequency f of drag-line is determined according to formula one1
Wherein, L is guy cable length, T0For the design Suo Li, m of drag-line are the quality of drag-line line;
The n order frequencies of drag-line are determined according to formula two
Wherein, fnIt is drag-lineRank vibration frequency, L is guy cable length, and 5 is drag-line power,It 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, it is characterised in that described to be carried out according to mode of oscillation Frequency spectrum subregion, obtains the corresponding order frequency of drag-line, including:
Inhaul cable vibration mode k to getting is rounded and is obtained [k], and fundamental frequency correction value is obtained according to formula four
According to the fundamental frequency correction value for obtainingFrequency spectrum is divided into interval N is positive integer;
The corresponding frequency of each interval intermediate frequency spectrum maximum point is obtained, the corresponding 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 1, it is characterised in that the step 3, including:
According to the corresponding order frequency f of drag-line1、f2、f3、f4、f5、····fnLinear regression processing is carried out, is obtained according to formula five Take the slope C of regression straight line
With reference to the slope C of regression straight line, Suo Li estimates T is obtained according to formula six
T=m (2LC)2Formula six.
CN201611267683.2A 2016-12-31 2016-12-31 Bridge cable pulling force recognition methods Active CN106840497B (en)

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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN108629116A (en) * 2018-05-04 2018-10-09 哈尔滨开博科技有限公司 The linear model cable force measurement method transmitted based on parameter
CN108871645A (en) * 2018-05-04 2018-11-23 哈尔滨开博科技有限公司 A kind of Cable force measuring method based on linear model coefficients transmitting
CN109371837A (en) * 2018-11-02 2019-02-22 中铁大桥科学研究院有限公司 A kind of suspension cable damper for taking into account cable tension test
CN110333506A (en) * 2019-06-12 2019-10-15 中铁大桥科学研究院有限公司 A method of extracting the drag-line location parameter of cable force measurement radar
CN110470422A (en) * 2019-08-22 2019-11-19 中铁大桥(南京)桥隧诊治有限公司 A kind of fundamental frequency optimization method based on inhaul cable vibration spectrum analysis
CN111928890A (en) * 2020-07-14 2020-11-13 宁波大学 Method for measuring self-vibration frequency and cable force of inhaul cable in real time
CN112100713A (en) * 2020-08-18 2020-12-18 东南大学 Cable force automatic identification method based on variable-pitch grid
CN114398712A (en) * 2022-03-25 2022-04-26 西南交通大学 Method, device and equipment for calculating real-time cable force of stay cable and readable storage medium
CN114459596A (en) * 2022-02-11 2022-05-10 中冶建筑研究总院有限公司 Comprehensive cable frequency self-verification analysis method based on power test

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CN104457956A (en) * 2014-12-08 2015-03-25 湘潭天鸿检测科技有限公司 Fundamental frequency identification method in cable force detection
CN105043631A (en) * 2015-06-25 2015-11-11 哈尔滨大金工程试验检测有限公司 Stay cable stay force measuring method based on vibration method using linear model

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KR100373517B1 (en) * 1999-04-28 2003-02-25 장승필 An Apparatus for Measuring the Cable Tension Using the Dynamic Characteristics of Cable
CN101586997A (en) * 2009-06-26 2009-11-25 贵州师范大学 Method for calculating guy cable vibrating base frequency
CN101762346A (en) * 2009-12-31 2010-06-30 北京市建筑工程研究院 Method for measuring rope force of multi-span steel stay rope by using multi-frequency method
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Cited By (16)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
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
CN108629116A (en) * 2018-05-04 2018-10-09 哈尔滨开博科技有限公司 The linear model cable force measurement method transmitted based on parameter
CN108871645A (en) * 2018-05-04 2018-11-23 哈尔滨开博科技有限公司 A kind of Cable force measuring method based on linear model coefficients transmitting
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
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
CN109371837A (en) * 2018-11-02 2019-02-22 中铁大桥科学研究院有限公司 A kind of suspension cable damper for taking into account cable tension test
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
CN110333506A (en) * 2019-06-12 2019-10-15 中铁大桥科学研究院有限公司 A method of extracting the drag-line location parameter 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
CN110470422A (en) * 2019-08-22 2019-11-19 中铁大桥(南京)桥隧诊治有限公司 A kind of fundamental frequency optimization method based on inhaul cable vibration spectrum analysis
CN111928890A (en) * 2020-07-14 2020-11-13 宁波大学 Method for measuring self-vibration frequency and cable force of inhaul cable in real time
CN112100713A (en) * 2020-08-18 2020-12-18 东南大学 Cable force automatic identification method based on variable-pitch grid
CN114459596A (en) * 2022-02-11 2022-05-10 中冶建筑研究总院有限公司 Comprehensive cable frequency self-verification analysis method based on power test
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
CN114398712A (en) * 2022-03-25 2022-04-26 西南交通大学 Method, device and equipment for calculating real-time cable force of stay cable and readable storage medium
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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