CN104949658B - Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision - Google Patents

Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision Download PDF

Info

Publication number
CN104949658B
CN104949658B CN201510321427.6A CN201510321427A CN104949658B CN 104949658 B CN104949658 B CN 104949658B CN 201510321427 A CN201510321427 A CN 201510321427A CN 104949658 B CN104949658 B CN 104949658B
Authority
CN
China
Prior art keywords
mtd
mtr
msub
mtable
mfenced
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Expired - Fee Related
Application number
CN201510321427.6A
Other languages
Chinese (zh)
Other versions
CN104949658A (en
Inventor
王璋奇
黄增浩
古珊珊
刘佳
李海超
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
North China Electric Power University
Original Assignee
North China Electric Power University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by North China Electric Power University filed Critical North China Electric Power University
Priority to CN201510321427.6A priority Critical patent/CN104949658B/en
Publication of CN104949658A publication Critical patent/CN104949658A/en
Application granted granted Critical
Publication of CN104949658B publication Critical patent/CN104949658B/en
Expired - Fee Related legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C11/00Photogrammetry or videogrammetry, e.g. stereogrammetry; Photographic surveying

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Remote Sensing (AREA)
  • Image Processing (AREA)
  • Length Measuring Devices By Optical Means (AREA)

Abstract

The present invention relates to a kind of wire ice-shedding trajectory measurement device based on binocular vision technology, the device device includes support, two camera, the host computers that adjustable zoom lens are housed, support includes three telescopic legs, rotation platform, tilt mount, camera mounting platform, the device is based on technique of binocular stereoscopic vision simultaneously, proposes a kind of wire ice-shedding trajectory measurement method.The present invention uses biocular systems error compensation mechanism so that measurement result is more accurate;On the other hand, the system dexterously utilizes polar curve and the straight-line intersection of wire two extraction match point so that matching result is more accurate, more efficient.

Description

Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision
Technical field
The invention belongs to measuring apparatus field, especially a kind of wire ice-shedding track based on binocular vision technology is surveyed Measure device.
Background technology
At present, China's power transmission network frequently suffers from icing disaster.It increases than carrying after wire icing, in wind load action Under, swing, cause wire breaking and tower falling accident.Wire, which deices, can cause wire Large Amplitude Motion, to insulator chain, gold utensil and Steel tower produces larger dynamic tension, causes structural failure, while can make the air gap reduction between wire, triggers alternate flashover Failure.Therefore, the icing on wire is removed in time.From two angles of experimental study and actual monitoring, will survey in real time Wire ice-shedding track is measured, process is deiced with control.
At present, also without the maturation method of wire ice-shedding trajectory measurement.
The content of the invention
It is an object of the invention to overcome prior art insufficient, there is provided one kind solves current wire ice-shedding trajectory measurement The difficult wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision.
The technical solution adopted by the present invention is:
A kind of wire ice-shedding trajectory measurement device based on binocular vision technology, the device include support, two dresses There are camera, the host computer of adjustable zoom lens, support is put down including three telescopic legs, rotation platform, tilt mount, camera installation Platform, rotation platform bottom are supported by three telescopic legs, tilt mount are installed at the top of rotation platform, on tilt mount top Portion's level is hinged with camera mounting platform, has chute, sliding block, Steel Ruler and spirit bubble on camera mounting platform, in camera Mounting platform upper surface specular is provided with two chutes, and a sliding block is slidably fitted with each chute, is set on sliding block There is camera mounting hole, Steel Ruler is arranged between two chutes on corresponding camera mounting platform upper surface location, two phases Machine is connected with same host computer respectively, completes IMAQ, processing and the storage of two camera sync pulse jammings.
Moreover, the rotation platform is 360 ° of Plane Rotation platforms.
Moreover, it is hinged with handle on the tilt mount.
Moreover, spirit bubble is also embedded with the camera mounting platform.
A kind of operating procedure of the wire ice-shedding trajectory measurement device based on binocular vision technology is:
(1) the baseline distance of camera is adjusted according to scaling board size and target range, then fastens the connection at each positions such as sliding block, Such as use first, it is necessary to determine the internal reference of camera and outer ginseng using black and white chessboard case marker again, static measurement experiment is then repeatedly done, is surveyed Measure systematic error curve;
(2) deicing below wire more than placing device at 500mm, allowing camera to keep looking up posture, using sky as background, Allow the length direction of camera mounting platform and wire to move towards vertical simultaneously, that is, polar curve and wire are had compared with mitre;
(3) it is continuously shot and deices wire image;
(4) the image of shooting is sent to host computer and carries out processing data, calculate ice-shedding track.
Moreover, step (1) in, the scaling method of the internal reference of camera and outer ginseng is:
Establish world coordinate system OWXWYWZW, each camera establishes camera coordinates system O respectivelyCXcYcZcAs origin, image is sat Mark system oxy, image pixel coordinates system Ouv, obtain image coordinate system is with image pixel coordinates system relation:
Wherein dx,dyThe each actual physical size of pixel in the corresponding direction, camera coordinates system are closed with world coordinate system It is to be:
Wherein R is spin matrix, and T is translation vector, is obtained by linear camera model:
Comprehensive above formula, the relation for obtaining image pixel coordinates system and world coordinate system are:
Two above-mentioned equations can be obtained for each camera, and simultaneous simultaneously can be to solve P using least square method Point coordinates,
Using Zhang Zhengyou chessboard calibration algorithms, the internal reference of two cameras is calibrated respectively:WithOuter ginseng:WithIn the present apparatus, world coordinate system and camera coordinates are set It is 1 connected, thenT1=[0 0 0]T,
Moreover, using MATLAB software programming capture programs on the host computer, two cameras consecutive image simultaneously is realized Collection, storage, while need to carry out static error curved measurement by host computer:
In the range of camera about 500mm to 3000mm, move a target every 100mm and measure, repeat to survey Amount 9 times.Using measured value at 500mm as error calculation zero point, the error curve measured every time is calculated, then to each measurement point Average, calculate error curve, be expressed as:
Δsi=f (si)si=0,100,200 ... .2500
ΔsiFor the measurement error of respective distance.
Calculate starting point measured value and obtain average value, be designated as averA.
Moreover, the step (4) in processing data procedure Procedure be:Image rectification, image procossing, match point calculate, rail Trace curve calculates.
Moreover, described image correction is the Coordinate Setting according to system, the basis matrix F=M of system11 -1[T2]× R2M12, wherein, M11And M12The respectively internal reference of left and right camera, [T2]×For T2Antisymmetric matrix.For P1Point, it is in right figure On polar curve equation be m=FuP,For P1Pixel coordinate in left image, P2Point one is positioned on straight line m.As a rule, Due to reasons such as mechanical erections, m is oblique line.The system uses Fusiello method for correcting image, will by rotatable imaging plane Polar curve correction is in a horizontal position, and its transformation for mula is:T=N2N1 -1, wherein N1For parameter before correction, N2Put down to redefine camera Parameter behind face.After correction, polar curve is horizontal, i.e., for match point in image pixel coordinates system, ordinate is identical.
Moreover, described image processing and match point calculating process are:Wire is extracted using the method for binaryzation, meanwhile, knot The method for closing morphologic filtering, removes the burr at wire edge and internal hole after extraction, in picture after the treatment Wire edge is found out, using least square fitting wire center line equation, then utilizes polar curve and the intersection point of center line equation Try to achieve match point.
Moreover, after the measured value of wire ice-shedding is calculated, error compensation is carried out, i.e., with the averA values As starting point, compensated with error curve, in corresponding siPlace adds Δ si, non-integer position uses the method calculation error of interpolation Offset.
Advantage of the present invention and good effect are:
The use of wire ice-shedding trajectory measurement device provided by the invention based on binocular vision technology, it is possible to achieve Quick, the accurate, automatic measurement of wire ice-shedding wire track, on the one hand, the system uses biocular systems error compensation machine System so that measurement result is more accurate;On the other hand, the system is dexterously matched using polar curve with the extraction of the straight-line intersection of wire two Point so that matching result is more accurate, more efficient.
Wire ice-shedding trajectory measurement device provided by the invention based on binocular vision technology combines binocular vision Technology, digital image processing techniques, computer software technology etc., advanced technology, there is good promotional value.
Brief description of the drawings
Fig. 1 is the structural representation of wire ice-shedding trajectory measurement device in the present invention;
Fig. 2 is each component layouts schematic diagram on the camera mounting platform of wire ice-shedding trajectory measurement device in the present invention (vertical view);
Fig. 3 is the tilt mount and machine mounting platform, handle in the present invention in wire ice-shedding trajectory measurement device Attachment structure schematic diagram;
Fig. 4 is the wire ice-shedding trajectory measurement device operating procedure flow chart of the present invention;
Fig. 5 is the binocular vision technology schematic diagram that the wire ice-shedding trajectory measurement device of the present invention uses;
Fig. 6 is image processing flow figure in the present invention.
Embodiment
Below by accompanying drawing, the invention will be further described in conjunction with specific embodiments, and following examples are descriptive , it is not limited, it is impossible to which protection scope of the present invention is limited with this.
A kind of wire ice-shedding trajectory measurement device based on binocular vision technology, the device include support, two dresses There are camera 1, the host computer 6 of adjustable zoom lens, support includes three telescopic legs 5, rotation platform 4, tilt mount 3, camera Mounting platform 2, rotation platform bottom are supported by three telescopic legs, thus meet to be easy to regulation high while stability Degree, to adapt to shooting adjustment needs, the rotation platform is 360 ° of Plane Rotation platforms, and the direction of 360 ° of camera can be supported to adjust It is whole, tilt mount is installed at the top of rotation platform, the luffing angle adjustment of camera is achieved in, in use, on tilt mount top Portion's level is hinged with camera mounting platform, and for the ease of operation, handle 12, the rotation of tilt mount are hinged with tilt mount Only need to operate the handle with angle adjustment.
There are chute 8, sliding block 10, Steel Ruler 9 and spirit bubble 7 on camera mounting platform, in camera mounting platform upper surface Specular is provided with two chutes, and a sliding block is slidably fitted with each chute, camera mounting hole 11 is provided with sliding block, For installing camera, sliding block is along slide, and so as to adjust the baseline distance of biocular systems, the value of its baseline distance can pass through steel Board foot is calculated, and Steel Ruler is arranged between two chutes on corresponding camera mounting platform upper surface location, in camera Spirit bubble is also embedded with mounting platform, for indicating whether camera mounting platform is in horizontal level.
Two cameras are connected with same host computer respectively, are completed the IMAQ of two camera sync pulse jammings, are handled and deposit Storage.
The operating procedure of above-mentioned wire ice-shedding trajectory measurement device is:
(1) the baseline distance of camera is adjusted according to scaling board size and target range, then fastens the connection at each positions such as sliding block, Such as use first, it is necessary to determine the internal reference of camera and outer ginseng using black and white chessboard case marker again, static measurement experiment is then repeatedly done, is surveyed Measure systematic error curve;
(2) deicing below wire more than placing device at 500mm, allowing camera to keep looking up posture, using sky as background, Allow the length direction of camera mounting platform and wire to move towards vertical simultaneously, that is, polar curve and wire are had compared with mitre;
(3) it is continuously shot and deices wire image;
(4) the image of shooting is sent to host computer and carries out processing data, calculate ice-shedding track.
Step (1) in, the scaling method of the internal reference of camera and outer ginseng is:
Establish world coordinate system OWXWYWZW, each camera establishes camera coordinates system O respectivelyCXcYcZcAs origin, image is sat Mark system oxy, image pixel coordinates system Ouv, obtain image coordinate system is with image pixel coordinates system relation:
Wherein dx,dyThe each actual physical size of pixel in the corresponding direction, camera coordinates system are closed with world coordinate system It is to be:
Wherein R is spin matrix, and T is translation matrix, is obtained by linear camera model:
Comprehensive above formula, the relation for obtaining image pixel coordinates system and world coordinate system are:
Two above-mentioned equations can be obtained for each camera, and simultaneous simultaneously can be to solve P using least square method Point coordinates,
Using Zhang Zhengyou chessboard calibration algorithms, the internal reference of two cameras is calibrated respectively:WithOuter ginseng:WithIn the present apparatus, world coordinate system and camera coordinates are set It is 1 connected, thenT1=[0 0 0]T,
In image shoot process, MATLAB software programming capture programs are used on host computer, two cameras is realized while connects Continuous IMAQ, storage, while need to carry out static error curved measurement by host computer:
In the range of camera about 500mm to 3000mm, move a target every 100mm and measure, repeat to survey Amount 9 times.Using measured value at 500mm as error calculation zero point, the error curve measured every time is calculated, then to each measurement point Average, calculate error curve, be expressed as:
Δsi=f (si)si=0,100,200 ... .2500
ΔsiFor the measurement error of respective distance.
Calculate starting point measured value and obtain average value, be designated as averA.
Step (4) in processing data procedure Procedure be:Image rectification, image procossing, match point calculate, geometric locus meter Calculate.
Described image correction is Coordinate Setting according to system, the basis matrix F=M of system11 -1[T2]×R2M12, its In, M11And M12The respectively internal reference of left and right camera, [T2]×For T2Antisymmetric matrix.For P1Point, its polar curve in right figure Equation is m=FuP,For P1Pixel coordinate in left image, P2Point one is positioned on straight line m.As a rule, due to machinery Reason, the m such as installation are oblique line.The system uses Fusiello method for correcting image, is corrected polar curve by rotatable imaging plane It is in a horizontal position, its transformation for mula is:T=N2N1 -1, wherein N1For parameter before correction, N2To redefine the ginseng after camera plane Number.After correction, polar curve is horizontal, i.e., for match point in image pixel coordinates system, ordinate is identical.
Above-mentioned image procossing and match point calculating process is:Wire is extracted using the method for binaryzation, meanwhile, combining form The method for learning filtering, the burr at wire edge and internal hole after extracting are removed, finds out and leads in picture after the treatment Line edge, using least square fitting wire center line equation, then tried to achieve using the intersection point of polar curve and center line equation With point.
After the measured value for calculating wire ice-shedding, error compensation is carried out, i.e., using the averA values as starting point, is used Error curve compensates, in corresponding siPlace adds Δ si, non-integer position uses the method calculation error offset of interpolation.
Although disclosing embodiments of the invention and accompanying drawing for the purpose of illustration, those skilled in the art can manage Solution:Do not departing from the present invention and spirit and scope of the appended claims in, it is various replace, change and modifications all be it is possible, Therefore, the scope of the present invention is not limited to embodiment and accompanying drawing disclosure of that.

Claims (5)

  1. A kind of 1. wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision, it is characterised in that:The device bag Support, two camera, the host computers that adjustable zoom lens are housed are included, support includes three telescopic legs, rotation platform, pitching branch Frame, camera mounting platform, rotation platform bottom are supported by three telescopic legs, and pitching branch is installed at the top of rotation platform Frame, camera mounting platform is hinged with tilt mount top horizontal, have on camera mounting platform chute, sliding block, Steel Ruler with And spirit bubble, in camera mounting platform upper surface, specular is provided with two chutes, and one is slidably fitted with each chute Sliding block, camera mounting hole is provided with sliding block, Steel Ruler is arranged on the corresponding camera mounting platform upper table between two chutes On the position of face, two cameras are connected with same host computer respectively, are completed the IMAQ of two camera sync pulse jammings, are handled and deposit Storage;
    The device operating procedure is:
    (1) the baseline distance of camera is adjusted according to scaling board size and target range, then fastens the connection at each positions such as sliding block, such as Use first, it is necessary to determine the internal reference of camera and outer ginseng using black and white chessboard case marker again, then repeatedly do static measurement experiment, measurement Go out systematic error curve;
    (2) deicing below wire more than placing device at 500mm, allowing camera to keep looking up posture, using sky as background, simultaneously Allow the length direction of camera mounting platform and wire to move towards vertical, that is, polar curve and wire are had compared with mitre;
    (3) it is continuously shot and deices wire image;
    (4) the image of shooting is sent to host computer and carries out processing data, calculate ice-shedding track;
    Step (1) in, the scaling method of the internal reference of camera and outer ginseng is:
    Establish world coordinate system OWXWYWZW, each camera establishes camera coordinates system O respectivelyCXcYcZcAs origin, image coordinate system Oxy, image pixel coordinates system Ouv, obtain image coordinate system is with image pixel coordinates system relation:
    <mrow> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>x</mi> </mtd> </mtr> <mtr> <mtd> <mi>y</mi> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>d</mi> <mi>x</mi> </msub> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mrow> <mo>-</mo> <msub> <mi>u</mi> <mn>0</mn> </msub> <msub> <mi>d</mi> <mi>x</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <msub> <mi>d</mi> <mi>y</mi> </msub> </mtd> <mtd> <mrow> <mo>-</mo> <msub> <mi>v</mi> <mn>0</mn> </msub> <msub> <mi>d</mi> <mi>y</mi> </msub> </mrow> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>u</mi> </mtd> </mtr> <mtr> <mtd> <mi>v</mi> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Wherein dx,dyThe each actual physical size of pixel in the corresponding direction, camera coordinates system and world coordinate system relation For:
    <mrow> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>X</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Y</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>R</mi> </mtd> <mtd> <mi>T</mi> </mtd> </mtr> <mtr> <mtd> <msup> <mn>0</mn> <mi>T</mi> </msup> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>X</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Y</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Wherein R is spin matrix, and T is translation vector, is obtained by linear camera model:
    <mrow> <msub> <mi>Z</mi> <mi>c</mi> </msub> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>x</mi> </mtd> </mtr> <mtr> <mtd> <mi>y</mi> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>f</mi> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mi>f</mi> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>X</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Y</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mi>c</mi> </msub> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> </mrow>
    Comprehensive above formula, the relation for obtaining image pixel coordinates system and world coordinate system are:
    <mfenced open = "" close = ""> <mtable> <mtr> <mtd> <mrow> <msub> <mi>Z</mi> <mi>c</mi> </msub> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>u</mi> </mtd> </mtr> <mtr> <mtd> <mi>v</mi> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mfrac> <mn>1</mn> <msub> <mi>d</mi> <mi>x</mi> </msub> </mfrac> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <msub> <mi>u</mi> <mn>0</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mfrac> <mn>1</mn> <msub> <mi>d</mi> <mi>y</mi> </msub> </mfrac> </mtd> <mtd> <msub> <mi>v</mi> <mn>0</mn> </msub> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>f</mi> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mi>f</mi> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>R</mi> </mtd> <mtd> <mi>T</mi> </mtd> </mtr> <mtr> <mtd> <msup> <mn>0</mn> <mi>T</mi> </msup> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>X</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Y</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>f</mi> <mi>x</mi> </msub> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <msub> <mi>u</mi> <mn>0</mn> </msub> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <msub> <mi>f</mi> <mi>y</mi> </msub> </mtd> <mtd> <msub> <mi>v</mi> <mn>0</mn> </msub> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> <mtr> <mtd> <mn>0</mn> </mtd> <mtd> <mn>0</mn> </mtd> <mtd> <mn>1</mn> </mtd> <mtd> <mn>0</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <mi>R</mi> </mtd> <mtd> <mi>T</mi> </mtd> </mtr> <mtr> <mtd> <msup> <mn>0</mn> <mi>T</mi> </msup> </mtd> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mfenced open = "[" close = "]"> <mtable> <mtr> <mtd> <msub> <mi>X</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Y</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <msub> <mi>Z</mi> <mi>w</mi> </msub> </mtd> </mtr> <mtr> <mtd> <mn>1</mn> </mtd> </mtr> </mtable> </mfenced> <mo>=</mo> </mrow> </mtd> </mtr> <mtr> <mtd> <mrow> <msub> <mi>M</mi> <mn>1</mn> </msub> <msub> <mi>M</mi> <mn>2</mn> </msub> <msub> <mi>P</mi> <mi>w</mi> </msub> <mo>=</mo> <msub> <mi>MP</mi> <mi>w</mi> </msub> <mo>=</mo> <mo>&amp;lsqb;</mo> <mi>N</mi> <mo>|</mo> <mi>n</mi> <mo>&amp;rsqb;</mo> <msub> <mi>P</mi> <mi>w</mi> </msub> </mrow> </mtd> </mtr> </mtable> </mfenced>
    Two above-mentioned equations can be obtained for each camera, simultaneous can simultaneously be sat using least square method to solve P points Mark, using Zhang Zhengyou chessboard calibration algorithms, the internal reference of two cameras is calibrated respectively:WithOuter ginseng:WithIn the present apparatus, world coordinate system and camera coordinates are set It is 1 connected, thenT1=[0 0 0]T,
    Step (1) in, the scaling method of the internal reference of camera and outer ginseng is:Gathered on the host computer using MATLAB software programmings Program, two cameras sequential image acquisition, storage simultaneously are realized, while need to carry out static error curve survey by host computer Amount:
    In the range of camera about 500mm to 3000mm, move a target every 100mm and measure, duplicate measurements 9 It is secondary, using measured value at 500mm as error calculation zero point, the error curve measured every time is calculated, then each measurement point is asked Average value, error curve is calculated, be expressed as:
    Δsi=f (si)si=0,100,200 ... .2500
    ΔsiFor the measurement error of respective distance,
    Calculate starting point measured value and obtain average value, be designated as averA;
    The step (4) in processing data procedure Procedure be:Image rectification, image procossing, match point calculate, geometric locus meter Calculate, described image correction is Coordinate Setting according to system, the basis matrix F=M of system11 -1[T2]×R2M12, wherein, M11 And M12The respectively internal reference of left and right camera, [T2]×For T2Antisymmetric matrix;For P1Point, its polar curve equation in right figure are M=FuP,For P1Pixel coordinate in left image, P2Point one is positioned on straight line m, as a rule, due to mechanical erection Reason, m are oblique line, and the system uses Fusiello method for correcting image, polar curve is corrected into level by rotatable imaging plane Position, its transformation for mula are:T=N2N1 -1, wherein N1For parameter before correction, N2To redefine the parameter after camera plane;School After just, polar curve is horizontal, i.e., for match point in image pixel coordinates system, ordinate is identical.
  2. 2. the wire ice-shedding trajectory measurement device according to claim 1 based on technique of binocular stereoscopic vision, it is special Sign is:The rotation platform is 360 ° of Plane Rotation platforms.
  3. 3. the wire ice-shedding trajectory measurement device according to claim 1 based on technique of binocular stereoscopic vision, it is special Sign is:Handle is hinged with the tilt mount.
  4. 4. the wire ice-shedding trajectory measurement device according to claim 1 based on technique of binocular stereoscopic vision, it is special Sign is:Described image processing and match point calculating process are:Wire is extracted using the method for binaryzation, meanwhile, combining form The method for learning filtering, the burr at wire edge and internal hole after extracting are removed, finds out and leads in picture after the treatment Line edge, using least square fitting wire center line equation, then tried to achieve using the intersection point of polar curve and center line equation With point.
  5. 5. the wire ice-shedding trajectory measurement device according to claim 1 based on technique of binocular stereoscopic vision, it is special Sign is:After the measured value of wire ice-shedding is calculated, carry out error compensation, i.e., using the averA values as Point, is compensated with error curve, in corresponding siPlace adds Δ si, non-integer position uses the method calculation error offset of interpolation.
CN201510321427.6A 2015-06-12 2015-06-12 Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision Expired - Fee Related CN104949658B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510321427.6A CN104949658B (en) 2015-06-12 2015-06-12 Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510321427.6A CN104949658B (en) 2015-06-12 2015-06-12 Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision

Publications (2)

Publication Number Publication Date
CN104949658A CN104949658A (en) 2015-09-30
CN104949658B true CN104949658B (en) 2018-02-27

Family

ID=54164506

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510321427.6A Expired - Fee Related CN104949658B (en) 2015-06-12 2015-06-12 Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision

Country Status (1)

Country Link
CN (1) CN104949658B (en)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN105627932B (en) * 2015-12-31 2019-07-30 天津远翥科技有限公司 A kind of distance measuring method and device based on binocular vision
CN106595594B (en) * 2016-11-18 2019-11-15 华南理工大学 A kind of adjustable binocular vision sensing device and method
CN107545587B (en) * 2017-09-26 2020-07-10 河北科技大学 Round steel end face binocular vision positioning method based on main and auxiliary eyes
CN108288293A (en) * 2018-01-17 2018-07-17 广东省海洋工程装备技术研究所 A kind of scaling method based on line-structured light
CN108917617A (en) * 2018-09-19 2018-11-30 贵州电网有限责任公司 A method of for ice-melt operation field transmission line of electricity ice-shedding vision measurement
CN113918551B (en) * 2021-10-12 2024-09-27 泰华智慧产业集团股份有限公司 Positioning abnormal point identification method, system, medium and electronic equipment
CN115524579B (en) * 2022-10-10 2023-12-22 国网河南省电力公司商丘供电公司 Non-contact overhead conductor parameter identification method and device

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101383054A (en) * 2008-10-17 2009-03-11 北京大学 Hybrid three-dimensional reconstructing method based on image and scanning data
CN102003946A (en) * 2010-09-02 2011-04-06 北京航空航天大学 High-temperature three-dimensional digital image related measurement system and measurement method
RU112524U1 (en) * 2011-03-16 2012-01-10 Государственное образовательное учреждение высшего профессионального образования "Казанский государственный энергетический университет" (КГЭУ) DEVICE FOR DETECTING ICE DEPOSITS ON ELECTRIC TRANSMISSION LINES WIRES
CN102645231A (en) * 2012-05-03 2012-08-22 中国科学院长春光学精密机械与物理研究所 Optical circular target dynamic error calibration method based on feature points of encoder
CN104240229A (en) * 2014-06-23 2014-12-24 南京理工大学 Self-adaptation polarline correcting method based on infrared binocular camera
RU2013130646A (en) * 2013-07-03 2015-01-10 Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Казанский государственный энергетический университет" (ФГБОУ ВПО "КГЭУ") METHOD FOR DETECTING HUNGER ON WIRES OF ELECTRIC TRANSMISSION AIR LINES

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101383054A (en) * 2008-10-17 2009-03-11 北京大学 Hybrid three-dimensional reconstructing method based on image and scanning data
CN102003946A (en) * 2010-09-02 2011-04-06 北京航空航天大学 High-temperature three-dimensional digital image related measurement system and measurement method
RU112524U1 (en) * 2011-03-16 2012-01-10 Государственное образовательное учреждение высшего профессионального образования "Казанский государственный энергетический университет" (КГЭУ) DEVICE FOR DETECTING ICE DEPOSITS ON ELECTRIC TRANSMISSION LINES WIRES
CN102645231A (en) * 2012-05-03 2012-08-22 中国科学院长春光学精密机械与物理研究所 Optical circular target dynamic error calibration method based on feature points of encoder
RU2013130646A (en) * 2013-07-03 2015-01-10 Федеральное государственное бюджетное образовательное учреждение высшего профессионального образования "Казанский государственный энергетический университет" (ФГБОУ ВПО "КГЭУ") METHOD FOR DETECTING HUNGER ON WIRES OF ELECTRIC TRANSMISSION AIR LINES
CN104240229A (en) * 2014-06-23 2014-12-24 南京理工大学 Self-adaptation polarline correcting method based on infrared binocular camera

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
三维重建技术在电力设备图像监测中的应用;吴畏;《中国优秀硕士学位论文全文数据库 信息科技辑》;20130315(第03期);第9-12页,22-25页 *
输电导线脱冰振动测量双目视觉方法;齐宏伟 等;《沈阳理工大学学报》;20100430;第29卷(第2期);第66-68页,图2,图3 *

Also Published As

Publication number Publication date
CN104949658A (en) 2015-09-30

Similar Documents

Publication Publication Date Title
CN104949658B (en) Wire ice-shedding trajectory measurement device based on technique of binocular stereoscopic vision
CN107085853B (en) Guide rail single eye stereo vision mining area derrick deformation monitoring method
CN104200086B (en) Wide-baseline visible light camera pose estimation method
CN104236462B (en) A kind of method of object height and distance in extraction video image
CN105699399B (en) A kind of detection device and method of SMT masterplates quality
CN109632033A (en) A kind of apparatus and method for of cubing
CN105551032B (en) The shaft tower image capturing system and its method of a kind of view-based access control model servo
CN105181109B (en) A kind of conducting wire ice-shedding track binocular measurement method
CN105513072A (en) PTZ correction method
CN107401976B (en) A kind of large scale vision measurement system and its scaling method based on monocular camera
CN102927917B (en) Many orders vision measurement method of iron tower
CN103791892B (en) Shipborne view field adjustable sea level observation device and method
US11544857B1 (en) Method and device for calculating river surface flow velocity based on variational principle
CN113309674B (en) Method and device for determining clearance distance of wind generating set
JP5079547B2 (en) Camera calibration apparatus and camera calibration method
CN104994273A (en) System of maintaining real-time shooting image to be vertical and method thereof
CN104019772B (en) A kind of bridge structure concrete surface voids and pits area detecting method
CN105651259A (en) Five-degree-of-freedom aerial photograph measurement simulation system
CN104786227B (en) Drop switch based on robot for high-voltage hot-line work changes control system and method
CN115143887A (en) Method for correcting measurement result of visual monitoring equipment and visual monitoring system
CN102223483B (en) Method and device for adjusting position of road traffic monitoring equipment
CN209230716U (en) A kind of volume measurement device
CN114252075B (en) Path tracking method and system of cable pit inspection robot
CN104858877B (en) High-tension line drop switch changes the control method of control system automatically
CN105203024A (en) Multiple sensor integrated icing photogrammetric method for power transmission line

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CF01 Termination of patent right due to non-payment of annual fee

Granted publication date: 20180227

Termination date: 20190612

CF01 Termination of patent right due to non-payment of annual fee