CN108106541A - A kind of bridge cable force measuring method based on video image identification - Google Patents
A kind of bridge cable force measuring method based on video image identification Download PDFInfo
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- CN108106541A CN108106541A CN201711397442.4A CN201711397442A CN108106541A CN 108106541 A CN108106541 A CN 108106541A CN 201711397442 A CN201711397442 A CN 201711397442A CN 108106541 A CN108106541 A CN 108106541A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/02—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness
- G01B11/022—Measuring arrangements characterised by the use of optical techniques for measuring length, width or thickness by means of tv-camera scanning
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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
- G01L5/10—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 using electrical means
- G01L5/105—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 using electrical means using electro-optical means
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Abstract
The invention discloses a kind of bridge cable force measuring methods based on video image identification, the camera acquisition bridge cable vibration video that the present invention is carried using intelligent mobile terminal, and processing is digitized in the software of intelligent mobile terminal, moving object detection is carried out using the polynomial fitting method of digital image edge detection, obtain the vibration displacement at each pixel each moment on drag-line edge feature, then carry out Fourier transformation to displacement time series to analyze to obtain inhaul cable vibration frequency, bridge cable Suo Li is finally acquired using frequency method.This method belongs to non-contact measurement, and advantage is need not to install sensor, and can measure more Cable power simultaneously, and efficiency greatly improves compared with traditional contact Suo Li instrument；Carrier platform of the intelligent terminal as bridge cable force measuring system is realized the integration and automation of bridge cable force acquisition and analysis, is had the characteristics that at low cost, portable easy-to-use.
Description
Technical field
The present invention relates to bridge cable force field of measuring technique, and in particular to a kind of bridge cable force based on video image identification
Measuring method.
Background technology
In recent years, it is also more and more for the demand of engineering survey with the raising of construction quality requirement.Especially in bridge
In engineering, the measurement of Suo Li has become a pith in the acceptance of work.The main Force transmission parts of Suo Zuowei bridges,
Stress directly reflects the health status of full-bridge, is the core index of bridge monitoring.
In modern Longspan Bridge, cable-stayed bridge is a kind of important bridge type.Suspension cable is as main in Cable-Stayed Bridge Structure
Load-carrying member plays a crucial role the safe operation of bridge, thus also seems particularly heavy to the test of cord force of cable-stayed bridge
It will.A variety of methods, such as magnetic flux method, pressure application, fundamental frequency method etc. are developed for bridge cable force testing engineering technical staff.Its
In, fundamental frequency method is widely used in force of bridge inclined cable detection and monitoring with its low cost, convenience.
Conventional bridge cable force test method belongs to point type detection mostly, is such as surveyed with acceleration transducer, pressure gauge, strain
Examination element etc. is detected, and the data of finite point in structure can only be obtained, using less data as bridge by the inspection of health state
The foundation survey, assessed, run, safeguard is clearly incomplete.
It largely needs that sensor is installed in common detection methods, belongs to contact type measurement, also need to suspend traffic sometimes,
For dynamic test, load effect is also required to take into account sometimes, and the large scale structure of vibrational state complexity, even more needs tying
The different parts of structure install multiple sensors, and operation difficulty is big, and synchronous obtain of data is also difficult to realize, cycle of test compared with
It is long, larger manpower, material resources and financial resources need to be expended.
The content of the invention
The present invention provides a kind of bridge cable force measuring methods based on video image identification, without installing sensor, lead to
Cross the video image identification analysis of bridge cable, it becomes possible to while measure more Cable power.
A kind of bridge cable force measuring method based on video image identification, comprises the following steps：
1) bridge cable vibration video is gathered；
2) processing is digitized to bridge cable vibration video；
3) moving object detection is carried out using the polynomial fitting method of digital image edge detection, obtains bridge cable feature
The vibration displacement at each pixel each moment on edge；
4) Fourier transformation is carried out to displacement time series to analyze to obtain inhaul cable vibration frequency；
5) bridge cable Suo Li is acquired using frequency method.
In step 1), the camera acquisition bridge cable carried using smart mobile phone vibrates video, and smart mobile phone is set up
Bridge cable vibration video acquisition is carried out on tripod support operation console, tripod support operation console includes：Three support feets,
The elevating lever that is connected with three support feets, the bearing being connected with the elevating lever, the table top being connected with the bearing and
The fixed knob of the fixed bearing.
Table top is connected with bearing, and table top can be rotated along short transverse, so that being placed on the smart mobile phone on table top
It can realize different pitching visual angles.
The elevating lever is equipped with lifting handle, for controlling the height of elevating lever.
The table top is equipped with mobile phone fixing frame, for fixing mobile phone.
In step 2), processing is digitized to bridge cable vibration video, including：
Bridge cable vibration video is sampled and quantification treatment, makes continuous Data Digital, obtains digital picture；
Image filtering and denoising, greyscale transformation, image sharpening are carried out to digital picture, improve picture quality；
Digital picture is decomposed, bridge cable is then extracted from several sub-regions after decomposition as tested pair
As.
The image filtering and denoising use Noise Elimination from Wavelet Transform technology.
In step 3), the digital picture for extracting bridge cable is handled, by the width before bridge cable state change
As reference, the image before the image after bridge cable state change is changed with the Obj State compares image, calculates
The deformation of bridge cable top edge characteristic area, each frame then vibrated using fitting of a polynomial gray-scale intensity method to bridge cable
Image is handled, and is improved image border accuracy of identification, is acquired each pixel each moment on bridge cable edge feature
Vibration displacement obtains displacement time series.
The deformation for calculating bridge cable top edge characteristic area uses Gauss edge model.
Using the polynomial fitting method in edge detection as the image algorithm in video image vibration measuring technology.
In step 4), Fourier transformation is carried out to displacement time series and analyzes to obtain inhaul cable vibration frequency, is specifically included：
The displacement time series obtained using Fourier transform pairs do spectrum analysis, and intrinsic frequency is identified using Peak Intensity Method
Rate, then draw Mode Shape by the amplitude combinations of the corresponding frequencies of each point response spectra.
In step 5), the calculating of Suo Li is carried out using frequency method, can both have been realized by the prior art.
Compared with prior art, the beneficial effects of the invention are as follows：
First, the present invention need not install sensor on testee, and no any load effect belongs to contactless survey
Amount, can be to avoid measuring point data can not be obtained caused by when special circumstances can not contact measurand the problem of.
2nd, more Points And lines tests can be realized without the wiring work at the scene into line sensor, measurement efficiency is high, saves
Shi Shengli.
3rd, can be by image information direct digitization using the smartphone software developed, therefore one can be built
The full automatic vibration test system of total digitalization, more information can be obtained compared to conventional method.
4th, using smart mobile phone as photographic equipment, at low cost, Portable high-efficiency, intelligence are easy-to-use.
5th, the method for the present invention belongs to non-contact measurement, and advantage is need not to install sensor, and can be measured simultaneously
More Cable power, efficiency greatly improves compared with traditional contact Suo Li instrument；Intelligent terminal is surveyed as bridge cable force
The carrier platform of amount system is realized the integration and automation of bridge cable force acquisition and analysis, is had at low cost, portable easy-to-use
Feature.
Description of the drawings
Fig. 1 is the structure diagram that intermediate cam frame of the present invention supports operation console.
Specific embodiment
The present invention is further described below in conjunction with the accompanying drawings.
(1) acquisition and processing of video.The camera acquisition bridge cable vibration video carried using smart mobile phone, by intelligence
Energy handset mounting, which is located on tripod support operation console, carries out bridge cable vibration video acquisition, and tripod support operation console includes：
Three support feets 4, the elevating lever 5 being connected with three support feets 4, the bearing 2 being connected with elevating lever 5, the table top being connected with bearing 2
6 and the fixed knob 3 of fixing bearing 2.Table top 6 is connected with bearing 2, and table top 6 can be rotated along short transverse, so that putting
Different pitching visual angles can be realized by putting the smart mobile phone on table top 6.Elevating lever 5 is equipped with lifting handle 1, is risen for controlling
The height of bar 5 drops.Table top 6 is equipped with mobile phone fixing frame 7, for fixing mobile phone.
Video acquisition is that a video flowing and audio stream are converted into digital video, and is stored up by the form of digital video file
It leaves and comes for further processing.Smart mobile phone is fixed on an adjustable tripod middle deck and it is made to keep perpendicular
Directly, the camera acquisition video of smart mobile phone is opened, the video collected is sampled and quantification treatment, makes continuous data
Digitlization, you can obtain digital picture.If the pixel of mobile phone camera be M × N, then for entire image, sampling and
The result of quantization can be expressed as：
Then the pretreatments such as image filtering and denoising, greyscale transformation, image sharpening are carried out to image, improves picture quality.
Wherein, image filtering and denoising use Noise Elimination from Wavelet Transform technology.Finally image is decomposed, if then from after decomposition
Bridge cable is extracted in dry sub-regions as measurand.
(2) digital image edge detection.By the piece image before measurand (bridge cable) state change as reference,
Image before image after measurand (bridge cable) state change is changed with the Obj State compares, and calculates tested
The deformation of object (bridge cable) top edge characteristic area, wherein, the theoretical model at description digital picture edge uses Gauss side
Edge model.Dimensional Gaussian edge model is represented by：
In formula：I (x, y) is the gray-scale intensity at image (x, y), and h is background light intensity, and k is contrast, and Φ is Gauss edge
Modular function, σ are fuzzy factor, and dt is the differential of Gauss edge modular function,For the projection equation of edge on the image plane：
In formula：Q is the slope of image border projection equation on an x-y plane, and R is marginal position.It is one as Q=0
Tie up Gauss edge model.Then each two field picture of inhaul cable vibration is handled using fitting of a polynomial gray-scale intensity method, improved
Image border accuracy of identification acquires the vibration displacement at each pixel each moment on its edge feature.For being fitted edge ash
Degree intensity mathematic(al) representation be：
I (z)=c0+c1z+c2z2+…+cnzn
In formula：Z be adjacent edges pixel position, I be z points at gray value, c0…cnTo be every in fitting function
Coefficient.
(3) signal analysis is identified with parameter.Frequency is done using the displacement time series obtained in Fourier transform pairs step (2)
Spectrum analysis identifies intrinsic frequency using Peak Intensity Method, then draws mode by the amplitude combinations of the corresponding frequencies of each point response spectra
The vibration shape.
(4) Suo Li is calculated.The calculating of Suo Li is carried out using frequency method：
Conventional Suo Li calculates the Suo Li calculation formula for using simplification and uses more extensive calculation formula at present：
In formula：T is the tension of rope, and m is the line density of rope, and l is the computational length of rope, fnIt is the n-th order natural frequency of vibration of rope.
Example：In certain test, shooting bridge cable vibration video, digitized processing and image border identification obtain drag-line
The displacement changing curve of one position at any time obtains the inhaul cable vibration to the time-displacement curve as Fast Fourier Transform (FFT)
Fundamental frequency f1=10.65Hz, it is known that the line density m=25.71kg/m of the drag-line, computational length l=7.82m can then be calculated
Go out Suo Li T=713.30kN.
Claims (9)
1. a kind of bridge cable force measuring method based on video image identification, which is characterized in that comprise the following steps：
1) bridge cable vibration video is gathered；
2) processing is digitized to bridge cable vibration video；
3) moving object detection is carried out using the polynomial fitting method of digital image edge detection, obtains bridge cable edge feature
The vibration displacement at upper each pixel each moment；
4) Fourier transformation is carried out to displacement time series to analyze to obtain inhaul cable vibration frequency；
5) bridge cable Suo Li is acquired using frequency method.
2. the bridge cable force measuring method according to claim 1 based on video image identification, which is characterized in that step 1)
In, the camera acquisition bridge cable carried using smart mobile phone vibrates video.
3. the bridge cable force measuring method according to claim 2 based on video image identification, which is characterized in that step 1)
In, smart mobile phone is erected on tripod support operation console and carries out bridge cable vibration video acquisition, tripod support operation
Platform includes：Three support feets, the elevating lever being connected with three support feets, the bearing being connected with the elevating lever, with it is described
The fixed knob of the table top of bearing connection and the fixed bearing.
4. the bridge cable force measuring method according to claim 3 based on video image identification, which is characterized in that step 1)
In, the elevating lever is equipped with lifting handle.
5. the bridge cable force measuring method according to claim 3 based on video image identification, which is characterized in that step 1)
In, the table top is equipped with mobile phone fixing frame.
6. the bridge cable force measuring method according to claim 1 based on video image identification, which is characterized in that step 2)
In, processing is digitized to bridge cable vibration video, including：
Bridge cable vibration video is sampled and quantification treatment, makes continuous Data Digital, obtains digital picture；
Image filtering and denoising, greyscale transformation, image sharpening are carried out to digital picture, improve picture quality；
Digital picture is decomposed, bridge cable is then extracted from several sub-regions after decomposition as measurand.
7. the bridge cable force measuring method according to claim 6 based on video image identification, which is characterized in that step 2)
In, the image filtering and denoising use Noise Elimination from Wavelet Transform technology.
8. the bridge cable force measuring method according to claim 1 based on video image identification, which is characterized in that step 3)
In, the digital picture for extracting bridge cable is handled, it, will by the piece image before bridge cable state change as reference
Image before image after bridge cable state change changes with the Obj State is compared, and it is special to calculate bridge cable top edge
The deformation in region is levied, then each two field picture that bridge cable vibrates is handled using fitting of a polynomial gray-scale intensity method, is carried
Hi-vision limb recognition precision acquires the vibration displacement at each pixel each moment on bridge cable edge feature, obtains in place
Shift time sequence.
9. the bridge cable force measuring method according to claim 8 based on video image identification, which is characterized in that step 3)
In, the deformation for calculating bridge cable top edge characteristic area uses Gauss edge model.
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Cited By (17)
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| CN109238536A (en) * | 2018-10-10 | 2019-01-18 | 中国电子科技集团公司第七研究所 | A kind of Cable force measuring method and system based on radar |
| CN109341903A (en) * | 2018-11-08 | 2019-02-15 | 东南大学 | A kind of Cable force measuring method based on limb recognition in computer vision |
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| CN111044197A (en) * | 2019-10-25 | 2020-04-21 | 东南大学 | Non-contact type cable force testing system and method based on unmanned aerial vehicle platform |
| CN111174961A (en) * | 2020-01-17 | 2020-05-19 | 东南大学 | Modal analysis-based cable force optical measurement method and measurement system thereof |
| CN111259770A (en) * | 2020-01-13 | 2020-06-09 | 东南大学 | Rapid cable force testing system and method based on unmanned aerial vehicle platform and deep learning under complex background |
| CN111649857A (en) * | 2020-04-23 | 2020-09-11 | 河海大学 | Inhaul cable modal measurement method for target matching analysis |
| CN111679099A (en) * | 2020-06-17 | 2020-09-18 | 中国科学院空天信息创新研究院 | Accelerometer calibration method and device based on coherent light vision optical flow detection |
| CN112284509A (en) * | 2020-09-28 | 2021-01-29 | 华南理工大学 | Bridge structure vibration mode measuring method based on mobile phone video |
| CN112637553A (en) * | 2020-11-25 | 2021-04-09 | 浙江大学 | Bridge structure modal analysis method based on monitoring video |
| CN113607321A (en) * | 2021-07-16 | 2021-11-05 | 重庆物康科技有限公司 | Cable force testing method and device of cable structure, computer equipment and storage medium |
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| CN116086676A (en) * | 2023-02-16 | 2023-05-09 | 同济大学 | Multi-point vibration observation system based on movable adjustable non-contact sensor array |
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| CN110543290A (en) * | 2018-09-04 | 2019-12-06 | 谷歌有限责任公司 | Multimodal response |
| CN110543290B (en) * | 2018-09-04 | 2024-03-05 | 谷歌有限责任公司 | Multimodal response |
| US11935530B2 (en) | 2018-09-04 | 2024-03-19 | Google Llc | Multimodal responses |
| CN109238536A (en) * | 2018-10-10 | 2019-01-18 | 中国电子科技集团公司第七研究所 | A kind of Cable force measuring method and system based on radar |
| CN109341903A (en) * | 2018-11-08 | 2019-02-15 | 东南大学 | A kind of Cable force measuring method based on limb recognition in computer vision |
| CN110514340A (en) * | 2019-07-17 | 2019-11-29 | 河海大学 | A kind of cable force measurement method tracked based on target identification in Digital image technology |
| CN111044197A (en) * | 2019-10-25 | 2020-04-21 | 东南大学 | Non-contact type cable force testing system and method based on unmanned aerial vehicle platform |
| CN111044197B (en) * | 2019-10-25 | 2021-06-11 | 东南大学 | Non-contact cable force test system based on unmanned aerial vehicle platform |
| CN111259770A (en) * | 2020-01-13 | 2020-06-09 | 东南大学 | Rapid cable force testing system and method based on unmanned aerial vehicle platform and deep learning under complex background |
| CN111259770B (en) * | 2020-01-13 | 2023-11-14 | 东南大学 | Unmanned plane platform and deep learning-based cable force rapid test method under complex background |
| CN111174961A (en) * | 2020-01-17 | 2020-05-19 | 东南大学 | Modal analysis-based cable force optical measurement method and measurement system thereof |
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| CN111679099A (en) * | 2020-06-17 | 2020-09-18 | 中国科学院空天信息创新研究院 | Accelerometer calibration method and device based on coherent light vision optical flow detection |
| CN112284509A (en) * | 2020-09-28 | 2021-01-29 | 华南理工大学 | Bridge structure vibration mode measuring method based on mobile phone video |
| CN112637553A (en) * | 2020-11-25 | 2021-04-09 | 浙江大学 | Bridge structure modal analysis method based on monitoring video |
| CN113607321A (en) * | 2021-07-16 | 2021-11-05 | 重庆物康科技有限公司 | Cable force testing method and device of cable structure, computer equipment and storage medium |
| CN114219768A (en) * | 2021-11-25 | 2022-03-22 | 华南理工大学 | Method, device, equipment and medium for measuring inhaul cable force based on pixel sensor |
| CN114577387A (en) * | 2022-03-08 | 2022-06-03 | 宁波朗达工程科技有限公司 | Bridge inhaul cable force real-time monitoring device, method and system |
| CN115144102A (en) * | 2022-06-21 | 2022-10-04 | 东南大学 | Bridge cable force automatic cruise monitoring system and method based on pan-tilt camera |
| CN115144102B (en) * | 2022-06-21 | 2024-01-30 | 东南大学 | Bridge cable force automatic cruising monitoring system and method based on cradle head camera |
| CN115830024A (en) * | 2023-02-16 | 2023-03-21 | 江苏博宇鑫信息科技股份有限公司 | Bridge inhaul cable micro-motion vibration detection method based on image segmentation |
| CN115830024B (en) * | 2023-02-16 | 2023-05-02 | 江苏博宇鑫信息科技股份有限公司 | Bridge guy cable micro-motion vibration detection method based on image segmentation |
| CN116086676A (en) * | 2023-02-16 | 2023-05-09 | 同济大学 | Multi-point vibration observation system based on movable adjustable non-contact sensor array |
| CN116086676B (en) * | 2023-02-16 | 2024-05-31 | 同济大学 | Multi-point vibration observation system based on movable adjustable non-contact sensor array |
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Application publication date: 20180601 |